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Taking the Puppy out for a walk
HomeBank, Grisbi & Gnucash
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Joined: 24 Feb 2006
Posts: 427
Location: Australia
Posted: Fri 06 Jul 2007, 18:30
Post subject:
HomeBank, Grisbi & Gnucash
Barry has announced that HomeBank will be part of the next version of Puppy.
As gnucash has 'died' as an option - see http://www.murga-linux.com/puppy/viewtopic.php?t=19602 and
as it is the start of a new financial year and a new bookkeeping program is urgently needed. Is there any chance of someone producing a .pet of HomeBank? PLEASE
Quicken 'works' under wine however its complex windowing seems to defeat wine and some very confusing behavour occurs.
The only program that really works well is QuickBooks under wine however as a private bookkeeping program it is not really suitable.
KMyMoney works however it is not very good and its reporting is limited and of course it requires KDE.
I'm sure Barry would like to know that somebody is out there testing HomeBank
Last edited by GeoffS on Tue 10 Jul 2007, 06:48; edited 1 time in total
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Puppy Master
Joined: 09 May 2005
Posts: 8877
Location: Perth, Western Australia
Posted: Fri 06 Jul 2007, 20:08
Post subject:
Yes, test away!
I've uploaded the PET package to the usual place:
Note, it's small, the PET package is 182K, a good choice for Puppy, as long as it works okay. But, the developer says it's very mature as was used for many years on Amiga, it's just the GTK2 port part of it that is new.
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Joined: 24 Feb 2006
Posts: 427
Location: Australia
Posted: Sat 07 Jul 2007, 03:05
Post subject:
Thank you very much, I'll keep you posted.
It does seem mature, their updates etc seem to be about enhancements or quite minor bugs - here's hoping.
Thanks again
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Joined: 24 Feb 2006
Posts: 427
Location: Australia
Posted: Sat 07 Jul 2007, 19:42
Post subject:
Well, I've had a bit of look at it.
1. It could do with an English speaker doing some of the translation from French
2. I began to suspect that this was not going to be satisfactory when as I entered the opening balances it didn't ask for class of account (asset, liability etc) and then didn't ask for the opening balance date. When I finished that I then found it could not produce a Balance Sheet nor had it calculated an Equity balance so I had no way of being able to easily check my entries.
3. This the important one - It has an almost total lack of reporting. Maybe this is a paper saving feature, however you can't even get reports on the screen. All you can get is a list of all your accounts and their balances and a list of expense and income totals. Note:- totals only, you cannot find the individual transactions that make up the total. If you find you have a 'strange' expense (or income) total you would have to manually search through all the transactions in all the accounts to hopefully find the error. This lack alone would make me reject the use of this program. There is no suggestion that the reporting will be improved in future releases.
4. There is no EXPORT facility so you can't develop your own reporting, nor can you move your data to another program.
5. The car expense feature is nice but certainly does not make up for the lack of reporting.
6. Poor internal linkage. e.g. Having defined a 'category' as an expense when posting an amount to it you still have to 'toggle' it as negative.
I would certainly NOT recommend this program.
Sorry Barrie - I really can't find anything really positive to say about it. I suppose it is better than XFinans but not by much.
I would recommend people to install KDE and use KMyMoney or get gnucash Version2 going.
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Puppy Master
Joined: 09 May 2005
Posts: 8877
Location: Perth, Western Australia
Posted: Sat 07 Jul 2007, 20:58
Post subject:
Okay, how about Grisbi? It is quite mature and has lots of features, is also small. What has prevented me from putting it in Puppy is needs Latex to print -- but I guess that could be a PET pkg.
There is also Ian's PuppyMoney.
Both of these are PET pckages, but I don't have the ltest Grisbi -- well, I'll go grab the source right now, and will upload a PET.
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Puppy Master
Joined: 09 May 2005
Posts: 8877
Location: Perth, Western Australia
Posted: Sat 07 Jul 2007, 22:21
Post subject:
Okay, Grisbi v0.5.9 is now at ibiblio:
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Joined: 24 Feb 2006
Posts: 427
Location: Australia
Posted: Sun 08 Jul 2007, 06:55
Post subject:
I had a look at Grisbi some time ago. There is a statement on their web page which concerns me. I paraphrase but essentially it says 'the program is not suitable for associations that require double entry bookkeeping' thereby admitting that it does not use double entry.
How or why anybody would create a bookkeeping program that doesn't use double entry I can not imagine. It is just so easy to do. Without it recovery from any sort of program failure is almost impossible. With it almost anything is possible! New features can be added at will and reporting 'is a soda'. Likewise the handling of the user editing transactions.
Despite that tirade
I'll have another look at it tomorrow.
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Joined: 21 Nov 2006
Posts: 11775
Location: Brussels IBM Thinkpad R40, 256MB, 20GB, WiFi ipw2100. Frugal Lin'N'Win
Posted: Sun 08 Jul 2007, 12:45
Post subject:
I tried Grisbi in Windows for a start.
I had crashes, which I have addressed to the NNTP support group.
Apart from that, it is the first Bank program I encountered that supports import of .ofx and I could import transactions, the bank account was created automatically in this process, but the crash came when trying to save the account.
In the NNTP support group I addressed also the lack of ghost script printing.
Well I least for the Windows version I am sure, report output can be directed to a browser and then printed.
Time savers:
Find packages in a snap and install using Puppy Package Manager (Menu).
Consult Wikka
Use peppyy's
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Joined: 24 Feb 2006
Posts: 427
Location: Australia
Posted: Sun 08 Jul 2007, 20:55
Post subject:
OK, cold morning and I've had time to play
Grisbi is a big advance on HomeBank
Like Homebank, some English documentation would help.
Like Gnucash, it is not very intuitive.
I have not managed to crash it.
I imported all of last year's transactions (approx 2500) from Gnucash. It sort of did it and did almost get the correct answers. Did require some massaging to get it correct but nothing too bad.
It is single entry bookkeeping which means that it has no way of checking that the data is all correct and that it balances. Unlike Gnucash.
Reporting is OK however setting up your own reports has an incredible number of options and it took me quite a while before I managed to get non-zero totals. It is not very confidence building to see a long column of figures (all debits or all credits) produce a total of zero
I believe that the reporting options are quite simply 'over the top' and would be a considerable impediment to many users.
I'm still getting euro signs on some totals.
It does not know of our convention of placing the currency sign before the figures.
Being French it does get the dates correct
Data entry or transaction entry is OK but appears to have more fields available than most users would want. That may be fixable.
You can not produce a balance sheet other than at today's date and then only on the screen.
I've had no success with printing. Mozilla could not understand the HTML file produced. Printing to a postscript file required Latex.
I will persevere with Grisbi. It does appear to be useable even if the basic design (single entry) is flawed.
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Puppy Master
Joined: 09 May 2005
Posts: 8877
Location: Perth, Western Australia
Posted: Mon 09 Jul 2007, 11:34
Post subject:
GeoffS, this is good feedback to forward to the Grisbi developers!
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Joined: 24 Feb 2006
Posts: 427
Location: Australia
Posted: Tue 10 Jul 2007, 06:47
Post subject: HomeBank, Grisbi and Gnucash
I have to partially withdraw some of my previous comments about Grisbi.
The import from Gnucash might not have crashed but it made some very strange mistakes. Some of the account totals are wrong but by only quite small amounts although one is incorrect by a very large amount.
Entry of transactions is OK up to the point where you want to enter a 'split' transaction then it becomes very clumsy. You have to click on a category called 'Breakdown' which then causes a 'Breakdown' button on the current data entry form to become active. You then click on that button and an entirely new data entry window appears (completely hiding the previous one) into which you enter the lines of the split transaction. The entire 'split' transaction handling appears to have been cobbled in.
The screen handling is quite old-fashioned with all windows appearing full screen within the main program window. You can't grab the current window and move it aside while looking for something underneath.
It compares quite unfavourably with Gnucash, except that Gnucash doesn't work
Noted your comment above Barry however I'll persevere a little longer before I send anything to them. I think my patience will run out eventually -
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Puppy Master
Joined: 09 May 2005
Posts: 8877
Location: Perth, Western Australia
Posted: Tue 10 Jul 2007, 19:49
Post subject:
Geoff, have you tried PuppyMoney?
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Joined: 24 Feb 2006
Posts: 427
Location: Australia
Posted: Wed 11 Jul 2007, 07:45
Post subject:
Yes, I did look at PuppyMoney. I'm afraid I found it far too simplistic.
So many of these programs have started life with somebody who has kept some records using a spreadsheet or maybe if they are a bit older in a 13 column cash book and it shows.
Regarding Grisbi:-
The import from Gnucash was far worse than I suspected.
As I mentioned in my previous post the final balance of each account is almost correct but in some cases half the transactions are missing. The accounts have an opening balance (which should be zero) which appears to be the total of the missing transactions.
I will start the year again, without the import of last year from Gnucash.
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Joined: 24 Feb 2006
Posts: 427
Location: Australia
Posted: Wed 11 Jul 2007, 17:17
Post subject:
Can't resist a puzzle
The missing transactions were easy - there is a tiny button which controls whether reconciled transactions are displayed. Found
However, the balance was still incorrect.
Went through an account and found a truly missing transaction. It involved a 'split' part of which went to an asset account and part to an expense account (category). Grisbi didn't know what to do with this, didn't bother to ask and didn't post a warning.
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Joined: 24 Feb 2006
Posts: 427
Location: Australia
Posted: Thu 12 Jul 2007, 07:07
Post subject:
It gets worse. Some similar transactions were 'half' entered. Half the transaction was entered (without complaint) and left unbalanced.
I would NOT recommend anybody using the Gnucash import facility unless they are prepared to do a lot of cleaning up.
Next day -
I've finally cleaned up the Gnucash import. Lots of strange errors. It depended to some degree on which account included in the transaction was encountered first. It certainly could not handle splits which involved asset or liability accounts and categories (expense or income accounts).
I will now attempt to 'use' Grisbi for a while.
There is still the problem of printing, it needs Latex.
Grisbi crashed when I tried to change the font from the tiny one used to something a little bigger.
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Apparently, no one is willing to plunk down $14,600 a year for a private valet parking spot at Bob Hope Airport.
After only about 40 days as the parking contractor at Bob Hope Airport, Standard Parking this week recommended that officials put the brakes on the top two levels of valet service, contending the pricey amenities had failed to catch on with customers.
The recommendation covers the Black Diamond and Platinum levels of valet parking, the former of which includes a reserved, extra wide, covered space available at any time — for $14,600 a year.
The Black Diamond valet service debuted in December 2009.
"We've had no takers since the product was introduced," said Clint Joy, vice president of operations for Standard, which took over parking operations from Central Parking last month.
Speaking to the Burbank-Glendale-Pasadena Airport Authority on Monday, Joy also said drivers have used the Platinum valet parking, which costs decidedly less at $31 a day — but not many of them.
The authority has been grappling for months with how to stem declining parking revenues, which are a vital source of income for the airport.
Joy recommended the "Gold" valet service, which costs $21 a day, be enhanced, perhaps with a "frequent parker" program.
Similar to a frequent flier program, it would let Standard identify each driver so employees could address them by name.
An enhancement that's already in place is a shortened average wait time for valet customers picking up their vehicles, Joy said.
Customers wait an average of three minutes now that Standard has taken over the service, he said.
"Prior to that, it was closer to seven or eight minutes," he added.
Standard representatives also outlined possible ways to increase revenue, such as an online parking reservation system available through a third-party provider.
As part of the online service, the airport would designate a certain number of parking spaces near the terminal that would be available by reservation.
Drivers would pay a premium for the service, said Pamela Brown, vice president of business development for Standard, adding that it could either be a flat fee or calculated on a per-day basis.
Brown said the reservation system would cost the airport $2 per permit.
At other airports, the online service has filled spaces mid-week and generates a couple thousand dollars a month, Brown said.
"It's been a very popular convenience," she said.

subset: commoncrawl


text:
|:: Spring / Autumn
:: Fixed Departure: April 06, 2011 – September. 05, 2011
|Name :
|Kanchanjunga Himal
|Latitude :
|27º 42' 09". N
|Longitude :
|88º 09' 25". E
|Trip Duration :
|50 Days
|Normal Ascent Route :
|South West Face
|Grade :
|Caravan Route :
|Ktm. – Taplejung-Mamanke-Yamphudin – Tseram – Kanchenjunga BC
Thousand of people come in Nepal every year for Mt Kanchanjunga expedition , i want to suggest all of climbers if you want to take any information as id you want to take different type as easy climb mt please fell free discuss in any point with me . I am always with you .
Mt. Kanchenjunga is the third highest mountain in the Himalayas, Coordinates: 27°42′09″N 88°08′54″E . Kanchenjunga is situated in eastern part of Nepal at 8598m. It was first climbed by a British team in 1956. It is an enormous mountain mass, and many satellite peaks rise from its narrow icy ridges. It is located on the border of Nepal and Sikkim, just 46 miles northwest of Darjeeling. It is the most easterly of the great 8,000 meter peaks of the Himalaya. The peak consists of four summits. The west summit, Yalung Kang, is 8420m high and some people classify it as a separate 8000m peak.
Three first Westerner to explore Kanchenjunga was the British botanist JD Hooker, who visited the area twice in 1848 and 1849. Exploration of the Skim, side of the peak continued with both British and pundit explorers mapping and photographing until 1899. In that year a party led by Douglas fresh field made a circuit of Kanchenjunga and produced what is still one of the most authoritative maps of the region.
The Japanese now took up the challenge and mounted expeditions in 1976, 1973 and 1974 during which they climbed Yalung Kang. A German Expedition climbed Yalung Kang in 1975, and in 1977 an Indian army team mounted the second successful expedition to the main peak of Kanchenjunga.
The route (North Face) is definitely the safest, although not the easiest. Climb of Kanchenjunga begin from a charming base camp in the meadows of Panorama at 5,180 m. First challenge is to fix lines up 900 m of intricate mixed climbing to the North col. This provides the most challenging climbing of the expedition. Once creating a lifeline to and from the North Col you can begin the long process of establishing three camps up the long and complicated North ridge. Using Sherpa support and oxygen, you can move at a systematically slow velocity higher and higher up the mountain. This is a highly satisfying climb for the expert Climbers.you must welcome in Nepal to take real test of Nepal Himalaya.
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Antonio Prohias was a Cuban cartoonist, best known as the creator of 'Spy vs. Spy' in MAD Comics. Born in Cienfuegos, he began his career drawing for the Cuban newspaper El Mundo in the 1940s. In the late 1950s Antonio Prohias was the president of the Association of Cuban Cartoonists and one of the country's foremost political cartoonists. He was the creator of characters like 'El Hombre Siniestro', 'La Mujer Siniestra' and 'Tovarich'. By the time Fidel Castro's government took control of the paper in 1960, Prohias fled from Cuba to America flat broke.
Once in the states, he went directly to work at Mad magazine, and became an internationally respected and beloved cartoonist. He started 'Spy vs. Spy' as an anti-Castro cartoon, but it ended up as one of the most popular features in Mad magazine. Prohias drew 'Spy vs. Spy' for Mad until he retired in 1990. Even though Antonio Prohias passed away in 1998, 'Spy Vs. Spy' can still be enjoyed in every issue of Mad Magazine.


text:
Match: Toronto Maple Leafs vs Minnesota Wild
Date : March 22, 2011
Time : 8:00 pm
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text:
Is there any way to compare equality of functions in LISP?
The following example explains what do I mean:
Let us define two functions:
>>>>> (defun next1 (x) (+ x 1) )
>>>>> (defun next2 (y) (+ y 1) )
Clearly, they do the same as functions and their formal definitions differ only by the name of
formal variable.
My question: is there a possibility in LISP to recognize that these functions are identical?
A simple test call (equalp next1 next2) results NIL...


text:
Scott Bittle
As the presidential candidates spout on about jobs and the economy, I sometimes wish I could put my late grandfather on the stage during the debates. Not just because he had a low tolerance for blather, although he did, and I think the politicians would find his comments, let's say, bracing. The real reason is that his experience has more relevance to the jobs debate than most of what the politicians are talking about.
My grandfather had a job that doesn't even exist anymore. In fact, most people may never have heard of it (except via Eugene O'Neill). He was an "iceman," delivering big blocks of ice to homes and businesses in the era before refrigeration. Back then, if you wanted to keep things cold, you kept your food in an insulated icebox (essentially a big cooler). Ice men like my grandfather were daily visitors, just like the milkman or the paper carrier.
Eventually technology came out with something better, but my grandfather knew that wasn't necessarily going to be better for him. As my father used to tell it, the family was once invited to dinner during the 1930s; a dinner that ended with ice cream out of a refrigerator. An electric refrigerator.
My grandfather didn't say anything, but there was no way in hell he was going to eat that demon dessert, no matter how hard my grandmother kicked him under the table. Finally, when the hostess' back was turned, she switched dishes, putting her empty one in front of grandfather and eating the second one herself.
That kind of defiance wasn't going to hold back the refrigerator, any more than John Henry could hold off the steam hammer. By the 1950s, 80 percent of American households had refrigerators, and my grandfather was out of the ice business and back to his farm.
My grandfather was an example of the "creative destruction" of jobs that economists (and lately presidential candidates) embrace. Technology both creates and destroys jobs, usually at the same time, and ideally because a superior product came along. Refrigerators were better than iceboxes. Eventually even my grandfather admitted it. If you look at the overall economy, the loss of ice routes was more than made up by new jobs making refrigerators.
The key word in creative destruction, however, is "creative." Now we're living in another time not unlike the 1930s, with a jobs crisis that's partly a massive failure of financial markets and partly a huge technological shift in the nature of work. There's no question the Great Recession slammed the global economy. But one reason why the jobs market has been so slow to recover is that technology is enabling us to do more work with fewer people -- or with people anywhere around the world.
Ah, but your grandfather was a blue-collar worker, you may say. Those kinds of jobs are begging to be automated. If he'd gone to college, that would have been a different story.
And that's very true: if my grandfather had gone to college he probably wouldn't have been an ice man, or a farmer. But an education isn't the guaranteed haven from technological change it used to be. The working assumption that most people have -- that technology favors the smart, the creative, and the well-educated -- may not hold up any more.
Figure it this way: it's about the difference between repetitive tasks and those that require analysis. If you're working on an assembly line, picking vegetables or handling deposits and withdrawals over a bank counter, a machine might do your job better. If you're in charge of making sure those jobs get done, or marketing them, then a computer may help you, but it can't do the job for you.
Unfortunately, the definition of "repetitive" is going to keep shifting. "E-discovery" software, which can sort through email and documents looking for suspicious patterns, is already taking on a job traditionally done by paralegals and junior associates in law forms. IBM's "Watson" computer, which can respond to questions well enough to play "Jeopardy," is really designed to take over tasks from nurses and doctors, like taking medical histories. But you'll still need a human being to write a brief, argue in court, or conduct your surgery.
The jobs crisis is the first priority for most Americans, and rightly so. If you don't have a decent job in America, your entire life can unravel. Yet in the early stages of a crucial presidential campaign, we're spending far too much time asking the wrong questions: can we "hold onto" the jobs we have? Should we cut taxes? Does a college education pay off?
What we really need to do -- and what our political candidates better start doing -- is talk about what kind of jobs technology is likely to create, and what kind it destroys, and how our national policy can get ahead of that curve. The economy will work these issues out in the long run, but it'll be a lot less ugly if we actually start planning for the changes we know are coming. Anything else is like refusing to eat the ice cream from the refrigerator: a stand that doesn't change a thing.


text:
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text:
James D. Anderson, "The Education of Blacks in the South, 1860-1935" (Chapel Hill, N.C., and London: University of North Carolina Press, 1988).
William G. Bowen, Matthew M. Chingos and Michael S. McPherson, "Crossing the Finish Line: Completing College at America's Public Universities" (Princeton, N.J.: Princeton University Press, 2009).
Steven Brint and Jerome Karabel, "The Diverted Dream: Community Colleges and the Promise of Educational Opportunity in America, 1900-1985" (New York, N.Y., and Oxford: Oxford University Press, 1989).
Oliver C. Carmichael, Jr., "New York Establishes a State University: A Case Study in the Processes of Policy Formation" (Nashville, Tenn.: Vanderbilt University Press, 1955).
Earl F. Cheit, "The Useful Arts and the Liberal Tradition" (New York, N.Y.: McGraw-Hill, 1975).
Arthur M. Cohen and Florence B. Brawer, "The American Community College" (San Francisco, Cal.: Jossey Bass, 5th edition 2008).
John Aubrey Douglass, "The California Idea and American Higher Education: 1850 to the 1960 Master Plan" (Stanford, Cal.: Stanford University Press, 2000).
Edgar Alden Dunham, "Colleges of the Forgotten Americans: A Profile of State Colleges and Regional Universities" (New York, N.Y.: McGraw-Hill, 1969).
Thomas G. Dyer, Jr., "The University of Georgia: A Bicentennial History, 1785-1985" (Athens, Ga.: University of Georgia Press, 1985).
Sheila C. Gordon, "The Transformation of the City University of New York, 1945-1970" (Ph.D. Thesis: Teachers College, Columbia University, New York, N.Y. 1975).
Freeman A. Hrabowski III, Kenneth I. Maton and Geoffrey L. Greif, "Beating the Odds: Raising Academically Successful African American Males" (New York, N.Y.: Oxford University Press, 1998).
--- "Overcoming the Odds: Raising Academically Successful African American Young Women" (New York, N.Y.: Oxford University Press, 2002).
Clark Kerr, "The Uses of the University" (Cambridge, Mass.: Harvard University Press, 2001 [1963]).
Gail O'Connor Mellow and Cynthia Heelan, "Minding the Dream: The Process and Practice of the American Community College" (Lanham, Md.: Rowman & Littlefield Publishers, 2008).
Maresi Nerad, "The Academic Kitchen: A Social History of Gender Stratification at the University of California, Berkeley" (Albany, N.Y.: State University Press of New York, 1999).
Allan Nevins, "The State Universities and Democracy" (Urbana, Ill.: University of Illinois Press, 1962).
Earle D. Ross, "Democracy's College: The Land Grant Movement in the Formative Stage" (Ames, Iowa: Iowa State College Press, 1942).
Frederick Rudolph, "The American College and University: A History," revised edition (Athens, Ga.: University of Georgia Press, 1990 [1962]).
S. Willis Rudy, "The College of the City of New York: A History, 1847-1947" (New York, N.Y.: City College Press, 1949).
John R. Thelin, "A History of American Higher Education" (Baltimore, Md., and London: The Johns Hopkins University Press, 2004).
Harold S. Wechsler, "The Qualified Student: A History of Selective College Admission in America, 1870-1970" (New York, N.Y.: Wiley, 1977).
Roger L. Williams, "The Origins of Federal Support for Higher Education: George W. Atherton and the Land-Grant College Movement" (University Park, Penn.: Pennsylvania State University Press, 1991).
George F. Zook, ed., "Higher Education for American Democracy: A Report of the President's Commission on Higher Education" (New York, N.Y.: Harper and Brothers, 1947).
Merle Borrowman, "The False Dawn of the State University," History of Education Quarterly (June, 1961), vol. 1, no. 2, 6-22.
David W. Breneman "Recessions Past and Present: Higher education struggles with state cuts, rising tuitions and a climate of uncertainty," (National Crosstalk) March 2009.
Jean Evangelauf, "Where did U.S. Public Higher Education Begin?: Georgia and North Carolina Claim the Honor," Chronicle of Higher Education (October 23, 1985), 1.
Marvin E. Gettleman, "John H. Finley at CCNY, 1903 to 1913," History of Education Quarterly, 10 (4) (Winter 1970), 423-439.
Eldon L. Johnson, "Misconceptions about the Early Land-Grant Colleges," Journal of Higher Education, 52 (4), July-August, 1981), 333-357.
Edwin Kiester, Jr., "The G.I. Bill May Be The Best Deal Ever Made By Uncle Sam," Smithsonian Magazine, 25 (8) (November, 1994), 128-139.
Jon Marcus "Florida's Unnatural Disaster: The state's economic bubble has burst, leaving higher education in a double bind," (National Crosstalk) March 2009.
Robert Pedersen, "Value Conflict on the Community College Campus: An Examination of its Historical Origins," in Lester Goodchild and Harold S. Wechsler, editors, "The History of Higher Education," second edition (Boston, Mass.: Pearson Custom Publishing, 1997), 499-509.
John R. Thelin, "Expectations and Reality in American Higher Education," Thought & Action, The NEA Higher Education Journal, 23 (Fall 2007), 59-70.
Martin Trow, "Reflections on the Transition from Elite to Mass to Universal Higher Education," Daedalus, 99 (Winter, 1970), 1-42.
Stephen J. Wright, "Black Colleges and Universities: Historical Background and Future Prospects," Virginia Humanities Newsletter, 14 (Spring 1988), 1-4.


text: Quick question here, after setting up ispconfig3 on Ubuntu 12.04, all is working fine, however, when I try and use the fetchmail feature to get the email from the old 3rd party hosting service I choose imap for protocol and it does not get the custom folders and their contents, only what is in the inbox. No sent mail, drafts, junk, etc. Is there a way to do this? maybe edit the getmail conf? Another thought, what is happening is our employees already have folders and email in their email client programs (outlook etc) is there a way to configure postfix to import these during synchronization instead of using the new empty email account on the new server as default and wiping the clients data? So that it will synchronize the email to the new server?


text:
The Dual USB US Standard travel charger is convenient to take along as a travel charger. It is compact size and light weight. With output connector of USB female head,this USB travel charger can be used with a USB Sync cable to sync and charge your PDA, MP3, MP4 or mobile phone.
- This adapter can charge 2 USB devices simultaneously
- Input: AC 100-240V, 50/60Hz
- Output: DC 5V - 5.5V / 1000mA
- Output Connector: USB female
- LED charging indicator shows charging status
This USB Travel Charger can not charge your PDA alone, it has to be used with USB charge cable. The cables sold seperately.


text:
BRISTOL — Anne Myrick's sprawling property off of Route 17 west of Bristol village is covered with intricate gardens, wide fields and a pond.
In recent years, her son Tony Myrick has added to the view. Myrick, 39, has been farming on a few acres near his childhood home and selling what he produces at the Bristol Farmers' Market for four years. Yore Fare Farm, as he titled the enterprise, is turning a profit this year for the first time.
The old-fashioned name came out of a brainstorming session with wife, Leah Jamieson. The duo wanted a name that "brought to mind the food from the times when everyone had a garden, when nobody used chemicals because they weren't there."
What began as a gardening hobby has evolved into a small, profitable farm with pigs, ducks, chickens and a strutting turkey. He also grows produce and feed plants, rotating the animals throughout the pasture. In the winter, the birds that weren't slaughtered move indoors to the greenhouse, which on a recent midsummer tour was home to peppers and cucumbers.
"It's expanding by baby steps," Myrick said. "It's a time thing. You need to be able to do it in a way where you're still doing everything well."
But after the first season when not all the money is going back into the existing operations, some expansion is on the horizon.
"The next way I would expand would be with vegetables," Myrick said, noting that while Yore Fare has sold exclusively at the Bristol Farmers' Market until this point, demand for local produce is such that selling to stores and restaurants would be feasible, he said.
Moving back to work the family's land, which the Anne Myrick's Cousino relatives have owned for generations, was not always a done deal for Myrick. He went to college in Iowa, taught in Taiwan for two years, and has also lived in Maine.
But Vermont is hard to beat.
"This is a really sweet area," Myrick said. "You've got the river and the mountains."
And the influence of a childhood spent tending to the ground clearly planted some seeds.
"I always had to weed and plant my mother's garden and do the work for that," Myrick recalled. "But it was like a 'Go out and do that' kind of situation."
It gave him a foundation of knowledge and a love of growing food.
These days, Myrick works as a carpenter in the Five Town Area and lives on East Street in Bristol with Jamieson. He goes to the farm a couple of times a day to check up on things and get work done.
Would he ever want to transition to farming full-time?
"Oh, definitely," Myrick said.
But there is a reason, he says, that small-scale operations have taken off in the area, particularly on old family properties.
With the financial hurdles that farmers face in Vermont, "the idea is not to put much money into it," Myrick summarized.
"There's a bunch of people doing small-scale," he said. "It's just less risk. To do it full-time would be great, I could do so much more. That's a dream."


text:
Description:HP DLT 40/80GB External HD68 with HD68-HD68 and VHDCI68-HD68 Cables
Part Number(s)
Option Part# 146197-B22
Overview:The 40/80 GB DLT Tape Drive is used in backup solutions for mid to high-end servers as a stand-alone product. The DLT technology is positioned at the high end of the Compaq secondary storage portfolio of drives. The 40/80 GB DLT drive is part of a total Compaq solution using Compaq branded servers primary storage and media. Live trial software for backup applications is included in the drive option kit.


text:
WASHINGTON, Jan. 25 (UPI) -- The U.S. State Department said a bill forcing approval of the Keystone XL pipeline from Canada prevents the government from making an informed decision.
Kerri-Ann Jones of the department said the Republican-backed measure "imposes narrow time constraints and creates automatic mandates," The Hill reported Wednesday.
The bill introduced by GOP Rep. Lee Terry of Nebraska would transfer the pipeline decision from the State Department to the independent Federal Energy Regulatory Commission.
House GOP leaders are considering attaching it to legislation extending the payroll tax holiday to the end of the year.
Jones, the department's point woman on the pipeline project, commented on the legislation in written testimony prepared for delivery to the House Energy and Commerce panel Wednesday.
She defended President Obama's decision last week to reject the pipeline.
The two-month extension of the payroll tax holiday for Americans had called on the president to deal with the pipeline question within 60 days.


text:
Hennepin Avenue in downtown Minneapolis is home to pretty, bustling theaters -- and unsightly parking lots and empty storefronts.
A coalition of arts groups has pushed to have the entire 2 miles between the Walker Art Center and the Mississippi River become a pedestrian-friendly cultural destination. Their plan, to be funded by a combination of public, nonprofit and business-community sources, emphasizes building on the avenue's existing strengths.
"To get more people downtown, we don't need to build a Millennium Park like Chicago," said Olga Viso, director of the Walker and a partner in the cultural-district planning group. "We already have great assets, we just need to link them. Right now, Hennepin is a disconnected experience."
Details were released Thursday, and the Minneapolis City Council approved the plan Friday. It includes making the avenue, as well as some parallel and intersecting streets, more appealing to young families and tourists. A new visitors' hub would let pedestrians buy theater rush tickets, get directions or simply warm up. Other amenities would be more trees and grass, direct street-to-skyway connections, courtyards and flexible event spaces, small street-level shops and restaurants, and mixed-use residential and work lofts. The plan also identifies several spots in need of the most improvement, such as the neglected Gateway area near the river, space-wasting surface lots and the Interstate 94 overpass.
The group also aims to attract teens with free youth-oriented programming and safe green spaces. "We found that for many of them, their only experience of Hennepin is riding the bus," Viso said.
One expansion not on the list: more parking, which the arts groups consider an unnecessary eyesore.
"Everyone's motivated by parking close to the theater, and then they don't want to walk," Viso said.
Devising the plan, which included public input, was mostly funded with $200,000 from the National Endowment for the Arts. But arts organizations won't be the only drivers. The city, the Park Board and private businesses, including sports venues, are integrated into the plan.
"Sports are very much a part of the culture of the avenue," said coalition partner Tom Hoch, president and CEO of Hennepin Theatre Trust, which owns four live-performance venues on the street.
While most of the development has yet to begin, a glimmer of what's to come quietly moved into a long-vacant small space in the former Witt Mitchell building at 7th Street and Hennepin two weeks ago. A prototype of a concept dubbed "Made Here" features art made by Minnesota artists, and Block E's owner has agreed to host similar efforts in that troubled property. The improvements will be a gradual process, Hoch said.
"We're thinking of it like decorating a room. First you paint the walls, then you add an area rug, some drapes, some flowers in a vase," he added.
The cultural-district project dovetails with the Minneapolis Downtown Council's "Downtown 2025," a plan with similar objectives as well as goals to double downtown's population and end homelessness.
Kristin Tillotson • 612-673-7046


text:
A-5 Owner's Manual
This free owner's manual is the same one that originally came with your marker. This manual goes into detail about safety & marker features.
- Barrel Blocking Device
- How to Load & Unload
- Air Supply
- Assembly & Disassembly
- Cleaning & Maintenance
- Marker Specifications


text:
2000-2001 Outside ScholarshipsThroughout the year, the Office of Admissions receives notices of scholarships that are offered through external organizations. Information about the scholarship awards that are currently available is listed below. Award notices are listed by the date on which they were posted.
You can also find information
on other outside scholarship awards on the Internet. Both FastWeb
and SuperCollege offer free searchable databases with more than 400,000
scholarship awards for which you may apply. You can visit FastWeb
at http://www.fastweb.com and SuperCollege
at http://www.supercollege.com.
Important Information for 2000-2001 Chicago-Kent Scholarship RecipientsIf you have been awarded a Chicago-Kent scholarship for the 2000-2001 academic year, please refer to the Scholarship Policies from the current Student Handbook for important information concerning your award. Please direct any questions about your scholarship to the Office of Admissions, Suite 230.


text:
A person with knowledge of the decision says the Dallas Cowboys have reached an agreement on a three-year deal with quarterback Kyle Orton to be Tony Romo's backup.
The person spoke to The Associated Press on the condition of anonymity because the team had not yet announced the move.
Orton finished last season in Kansas City after being released by Denver.
Jon Kitna, Romo's backup the last two years, retired after last season. The 39-year-old Kitna appeared in only three games last year after starting the final 10 games in 2010 when Romo broke his collarbone.
After Kitna injured his back last fall, the Cowboys unsuccessfully tried to claim Orton off waivers following his release by the Broncos.


text:
Powered by Apache Hadoop
This page documents an alphabetical list of institutions that are using Apache Hadoop for educational or production uses. Companies that offer services on or based around Hadoop are listed in Commercial Support. Please include details about your cluster hardware and size. Entries without this may be mistaken for spam references and deleted.
To add entries you need write permission to the wiki, which you can get by subscribing to the email@example.com mailing list and asking for permissions on the wiki account username you've registered yourself as. If you are using Apache Hadoop in production you ought to consider getting involved in the development process anyway, by filing bugs, testing beta releases, reviewing the code and turning your notes into shared documentation. Your participation in this process will ensure your needs get met.
A9.com - Amazon*
We build Amazon's product search indices using the streaming API and pre-existing C++, Perl, and Python tools.
We process millions of sessions daily for analytics, using both the Java and streaming APIs.
Our clusters vary from 1 to 100 nodes
We use an Apache Hadoop cluster to rollup registration and view data each night.
Our cluster has 10 1U servers, with 4 cores, 4GB ram and 3 drives
Each night, we run 112 Hadoop jobs
It is roughly 4X faster to export the transaction tables from each of our reporting databases, transfer the data to the cluster, perform the rollups, then import back into the databases than to perform the same rollups in the database.
We use Apache Hadoop and Apache HBase in several areas from social services to structured data storage and processing for internal use.
We currently have about 30 nodes running HDFS, Hadoop and HBase in clusters ranging from 5 to 14 nodes on both production and development. We plan a deployment on an 80 nodes cluster.
We constantly write data to Apache HBase and run MapReduce jobs to process then store it back to Apache HBase or external systems.
Our production cluster has been running since Oct 2008.
We use Apache Flume, Apache Hadoop and PApache ig for log storage and report generation as well as ad-Targeting.
We currently have 12 nodes running HDFS and Pig and plan to add more from time to time.
50% of our recommender system is pure Pig because of it's ease of use.
Some of our more deeply-integrated tasks are using the streaming API and ruby as well as the excellent Wukong-Library.
Able Grape - Vertical search engine for trustworthy wine information
We have one of the world's smaller Hadoop clusters (2 nodes @ 8 CPUs/node)
Hadoop and Apache Nutch used to analyze and index textual information
Adknowledge - Ad network
Hadoop used to build the recommender system for behavioral targeting, plus other clickstream analytics
We handle 500MM clickstream events per day
Our clusters vary from 50 to 200 nodes, mostly on EC2.
Investigating use of R clusters atop Hadoop for statistical analysis and modeling at scale.
Aguja- E-Commerce Data analysis
We use hadoop, pig and hbase to analyze search log, product view data, and analyze all of our logs
3 node cluster with 48 cores in total, 4GB RAM and 1 TB storage each.
A 15-node cluster dedicated to processing sorts of business data dumped out of database and joining them together. These data will then be fed into iSearch, our vertical search engine.
Each node has 8 cores, 16G RAM and 1.4T storage.
We use Apache Hadoop for variety of things ranging from ETL style processing and statistics generation to running advanced algorithms for doing behavioral analysis and targeting.
The cluster that we use for mainly behavioral analysis and targeting has 150 machines, Intel Xeon, dual processors, dual core, each with 16GB Ram and 800 GB hard-disk.
ARA.COM.TR - Ara Com Tr - Turkey's first and only search engine
We build Ara.com.tr search engine using the Python tools.
We use Apache Hadoop for analytics.
We handle about 400TB per month
Our clusters vary from 10 to 100 nodes
HDFS, Apache Accumulo, Scala
Currently 3 nodes (16Gb RAM, 6Tb storage)
We use Hadoop for information extraction & search, and data analysis consulting
Cluster: we primarily use Amazon's Elastic MapReduce
Two applications that are side products/projects of a local tour company: 1. Sentiment analysis of review websites and social media data. Targeting the tourism industry. 2. Marketing tool that analyzes the most valuable/useful reviewers from sites like Tripadvisor and Yelp as well as social media. Lets marketers and business owners find community members most relevant to their businesses.
Using Apache Hadoop, HDFS, Hive, and HBase.
3 node cluster, 4 cores, 4GB RAM.
4 nodes cluster (32 cores, 1TB).
We use Apache Hadoop for searching and analysis of millions of rental bookings.
Experimental installation - various TB storage for logs and digital assets
Currently 4 nodes cluster
Using hadoop for log analysis/data mining/machine learning
Benipal Technologies - Big Data. Search. AI.
35 Node Cluster
We have been running our cluster with no downtime for over 2 ½ years and have successfully handled over 75 Million files on a 64 GB Namenode with 50 TB cluster storage.
We are heavy MapReduce and Apache HBase users and use Apache Hadoop with Apache HBase for semi-supervised Machine Learning, AI R&D, Image Processing & Analysis, and Apache Lucene index sharding using katta.
14 node cluster (each node has: 2 dual core CPUs, 2TB storage, 8GB RAM)
We use Apache Hadoop for matching dating profiles
Bixo Labs - Elastic web mining
The Bixolabs elastic web mining platform uses Hadoop + Cascading to quickly build scalable web mining applications.
We're doing a 200M page/5TB crawl as part of the public terabyte dataset project.
This runs as a 20 machine Elastic MapReduce cluster.
BrainPad - Data mining and analysis
We use Apache Hadoop to summarize of user's tracking data.
And use analyzing.
Brilig - Cooperative data marketplace for online advertising
We use Apache Hadoop/MapReduce and Apache Hive for data management, analysis, log aggregation, reporting, ETL into Apache Hive, and loading data into distributed K/V stores
Our primary cluster is 10 nodes, each member has 2x4 Cores, 24 GB RAM, 6 x 1TB SATA.
We also use AWS EMR clusters for additional reporting capacity on 10 TB of data stored in S3. We usually use m1.xlarge, 60 - 100 nodes.
Brockmann Consult GmbH - Environmental informatics and Geoinformation services
We use Apache Hadoop to develop the Calvalus system - parallel processing of large amounts of satellite data.
Focus on generation, analysis and validation of environmental Earth Observation data products.
Our cluster is a rack with 20 nodes (4 cores, 8 GB RAM each),
112 TB diskspace total.
Hardware: 15 nodes
We use Apache Hadoop to process company and job data and run Machine learning algorithms for our recommendation engine.
We use Apache Hadoop for our internal searching, filtering and indexing
Hardware: 15 nodes
We use Apache Hadoop to process company and job data and run Machine learning algorithms for our recommendation engine.
Used on client projects and internal log reporting/parsing systems designed to scale to infinity and beyond.
Client project: Amazon S3-backed, web-wide analytics platform
Internal: cross-architecture event log aggregation & processing
Contextweb - Ad Exchange
We use Hadoop to store ad serving logs and use it as a source for ad optimizations, analytics, reporting and machine learning.
Currently we have a 50 machine cluster with 400 cores and about 140TB raw storage. Each (commodity) node has 8 cores and 16GB of RAM.
Cooliris - Cooliris transforms your browser into a lightning fast, cinematic way to browse photos and videos, both online and on your hard drive.
We have a 15-node Hadoop cluster where each machine has 8 cores, 8 GB ram, and 3-4 TB of storage.
We use Hadoop for all of our analytics, and we use Pig to allow PMs and non-engineers the freedom to query the data in an ad-hoc manner.
Generating web graphs on 100 nodes (dual 2.4GHz Xeon Processor, 2 GB RAM, 72GB Hard Drive)
Criteo - Criteo is a global leader in online performance advertising
Criteo R&D uses Hadoop as a consolidated platform for storage, analytics and back-end processing, including Machine Learning algorithms
Two production clusters, each with a corresponding pre-production and an experimental cluster
More than 58,000 cores in 3,000 machines
Our biggest cluster: 2,000 machines (24 cores, 90TB disk storage and 256GB RAM)
Growth to 3,000 machines by end 2017
We run a mix of jobs and workflows based on a variety of frameworks:
Mono (.Net)
Custom Yarn applications (for Machine Learning)
Hadoop deployed dynamically on subsets of a 400-node cluster
node: two quad-core 2.83GHz Xeons, 16 GB RAM, two 250GB HDDs
most deployments use our high-performance GPFS (3.8PB, 15GB/s random r/w)
Computational biology applications
Crowdmedia has a 5 Node Hadoop cluster for statistical analysis
We use Apache Hadoop to analyse trends on Facebook and other social networks
We use Apache Apache adoop for batch-processing large RDF datasets, in particular for indexing RDF data.
We also use Apache Hadoop for executing long-running offline SPARQL queries for clients.
We use Amazon S3 and Apache Cassandra to store input RDF datasets and output files.
We've developed RDFgrid, a Ruby framework for map/reduce-based processing of RDF data.
We primarily use Ruby, RDF.rb and RDFgrid to process RDF data with Apache Hadoop Streaming.
We primarily run Apache Hadoop jobs on Amazon Elastic MapReduce, with cluster sizes of 1 to 20 nodes depending on the size of the dataset (hundreds of millions to billions of RDF statements).
We use a combination of Apache Pig and Java based Map/Reduce jobs to sort, aggregate and help make sense of large amounts of data.
Elastic cluster with 5-80 nodes
We use Hadoop to create our indexes of deep web content and to provide a high availability and high bandwidth storage service for index shards for our search cluster.
We are using Hadoop in our data mining and multimedia/internet research groups.
3 node cluster with 48 cores in total, 4GB RAM and 1 TB storage each.
Detikcom - Indonesia's largest news portal
We use Apache Hadoop, Apache Pig and Apache HBase to analyze search log, generate Most View News, generate top wordcloud, and analyze all of our logs
Currently We use 9 nodes
We use Apache Hadoop and Apache Nutch to research data on programming-related websites, such as looking for current trends, story originators, and related information.
We're currently using three nodes, with each node having two cores, 4GB RAM, and 1TB storage. We'll expand these once we settle on our related technologies (Scala, Apache Pig, Apache HBase, other).
We generate Pig Latin scripts that describe structural and semantic conversions between data contexts
We use Apache Hadoop to execute these scripts for production-level deployments
Eliminates the need for explicit data and schema mappings during database integration
532 nodes cluster (8 * 532 cores, 5.3PB).
Heavy usage of Java MapReduce, Apache Pig, Apache Hive, Apache HBase
Using it for Search optimization and Research.
two 60 nodes cluster each >1000 cores, total 5T Ram, 1PB
mostly Apache HBase, some M/R
marketing data handling
Enet, 'Eleftherotypia' newspaper, Greece
Experimental installation - storage for logs and digital assets
Currently 5 nodes cluster
Using Apache Hadoop for log analysis/data mining/machine learning
4 nodes cluster (32 cores, 1TB).
We use Apache Hadoop to filter and index our listings, removing exact duplicates and grouping similar ones.
We plan to use Apache Pig very shortly to produce statistics.
ESPOL University (Escuela Superior Politécnica del Litoral) in Guayaquil, Ecuador
4 nodes proof-of-concept cluster.
We use Apache Hadoop in a Data-Intensive Computing capstone course. The course projects cover topics like information retrieval, machine learning, social network analysis, business intelligence, and network security.
The students use on-demand clusters launched using Amazon's EC2 and EMR services, thanks to its AWS in Education program.
We are using Apache Hadoop in a course that we are currently teaching: "Massively Parallel Data Analysis with MapReduce". The course projects are based on real use-cases from biological data analysis.
Cluster hardware: 16 x (Quad-core Intel Xeon, 8GB RAM, 1.5 TB Hard-Disk)
Eyealike - Visual Media Search Platform
Facial similarity and recognition across large datasets.
Image content based advertising and auto-tagging for social media.
Image based video copyright protection.
Explore.To Yellow Pages - Explore To Yellow Pages
We use Apache Hadoop for our internal search, filtering and indexing
Elastic cluster with 5-80 nodes
We use Apache Hadoop to store copies of internal log and dimension data sources and use it as a source for reporting/analytics and machine learning.
Currently we have 2 major clusters:
A 1100-machine cluster with 8800 cores and about 12 PB raw storage.
A 300-machine cluster with 2400 cores and about 3 PB raw storage.
Each (commodity) node has 8 cores and 12 TB of storage.
We are heavy users of both streaming as well as the Java APIs. We have built a higher level data warehousing framework using these features called Hive (see the http://hadoop.apache.org/hive/). We have also developed a FUSE implementation over HDFS.
We use Hadoop for storing logs, news analysis, tag analysis.
40 machine cluster (8 cores/machine, 2TB/machine storage)
70 machine cluster (8 cores/machine, 3TB/machine storage)
30 machine cluster (8 cores/machine, 4TB/machine storage)
Use for log analysis, data mining and machine learning
5 machine cluster (8 cores/machine, 5TB/machine storage)
Existing 19 virtual machine cluster (2 cores/machine 30TB storage)
Predominantly Apache Hive and Streaming API based jobs (~20,000 jobs a week) using our Ruby library, or see the canonical WordCount example.
Daily batch ETL with a slightly modified clojure-hadoop
Log analysis
Data mining
Machine learning
We use Hadoop for analyzing quotes, quote authors and quote topics.
Freestylers - Image retrieval engine
We, the Japanese company Freestylers, use Hadoop to build the image processing environment for image-based product recommendation system mainly on Amazon EC2, from April 2009.
Our Apache Hadoop environment produces the original database for fast access from our web application.
We also uses Hadoop to analyzing similarities of user's behavior.
GBIF (Global Biodiversity Information Facility) - nonprofit organization that focuses on making scientific data on biodiversity available via the Internet
18 nodes running a mix of Apache Hadoop and Apache HBase
Apache Hive ad hoc queries against our biodiversity data
Regular Apache Oozie workflows to process biodiversity data for publishing
All work is Open source (e.g. Oozie workflow, Ganglia)
Feng Chia University
3 machine cluster (4 cores, 1TB/machine)
storage for sensor data
9 node cluster (Amazon EC2 c1.xlarge)
Nightly MapReduce jobs on Amazon Elastic MapReduce process data stored in S3
MapReduce jobs written in Groovy use Apache Hadoop Java APIs
Image and advertising analytics
Using Apache Hadoop for analyzing data for millions of images, log analysis, data mining
Hadoop Korean User Group, a Korean Local Community Team Page.
50 node cluster In the Korea university network environment.
Pentium 4 PC, HDFS 4TB Storage
Used for development projects
Retrieving and Analyzing Biomedical Knowledge
Latent Semantic Analysis, Collaborative Filtering
Helprace, a customer service software.
3 node cluster (4 cores, 32 GB of RAM each).
Hadoop for search engine analtyics and internal searching and data filtering
3 machine cluster (4 cores/machine, 2TB/machine)
Apache Hadoop for data for search and aggregation
Apache HBase hosting
13 machine cluster (8 cores/machine, 4TB/machine)
Log storage and analysis
Apache HBase hosting
6 node cluster (each node has: 4 dual core CPUs, 1,5TB storage, 4GB RAM, RedHat Enterprise Linux)
Using Apache Hadoop for our high speed data mining applications in corporation with Online Scheidung
Evolución del euribor y valor actual
Simulador de hipotecas en crisis económica
We use a customised version of Apache Hadoop and Apache Nutch in a currently experimental 6 node/Dual Core cluster environment.
What we crawl are our clients Websites and from the information we gather. We fingerprint old and non updated software packages in that shared hosting environment. We can then inform our clients that they have old and non updated software running after matching a signature to a Database. With that information we know which sites would require patching as a free and courtesy service to protect the majority of users. Without the technologies of Nutch and Hadoop this would be a far harder to accomplish task.
We are using Apache Hadoop and Apache Nutch to crawl Blog posts and later process them. Hadoop is also beginning to be used in our teaching and general research activities on natural language processing and machine learning.
We use hadoop for Information Retrieval and Extraction research projects. Also working on map-reduce scheduling research for multi-job environments.
Our cluster sizes vary from 10 to 30 nodes, depending on the jobs. Heterogenous nodes with most being Quad 6600s, 4GB RAM and 1TB disk per node. Also some nodes with dual core and single core configurations.
From TechCrunch:
Rather than put ads in or around the images it hosts, Levin is working on harnessing all the data his service generates about content consumption (perhaps to better target advertising on ImageShack or to syndicate that targetting data to ad networks). Like Google and Yahoo, he is deploying the open-source Hadoop software to create a massive distributed supercomputer, but he is using it to analyze all the data he is collecting.
We use Apache Hadoop to analyze our virtual economy
We also use Apache Hive to access our trove of operational data to inform product development decisions around improving user experience and retention as well as meeting revenue targets
Our data is stored in Amazon S3 and pulled into our clusters of up to 4 m1.large EC2 instances. Our total data volume is on the order of 5Tb
We use Apache Hadoop to analyze production logs and to provide various statistics on our In-Text advertising network.
We also use Apache Hadoop/Apache HBase to process user interactions with advertisements and to optimize ad selection.
Information Sciences Institute (ISI)
Used Apache Hadoop and 18 nodes/52 cores to plot the entire internet.
30 node AWS EC2 cluster (varying instance size, currently EBS-backed) managed by Chef & Poolparty running Apache Hadoop 0.20.2+228, Apache Pig 0.5.0+30, Azkaban 0.04, Wukong
Used for ETL & data analysis on terascale datasets, especially social network data.
- Running Apache Hadoop on around 700 nodes (16800 cores, 5+ PB) in 6 Data Centers for ETL, Analytics, Data Science and Machine Learning
using 10 node HDFS cluster to store and process retrieved data on.
Using Hadoop for crawling, data analysis, log analysis.
Session analysis and report generation
Using Apache Hadoop MapReduce to analyse billions of lines of GPS data to create TrafficSpeeds, our accurate traffic speed forecast product.
Kalooga - Kalooga is a discovery service for image galleries.
Uses Apache Hadoop, Apache HBase, Apache Chukwa and Apache Pig on a 20-node cluster for crawling, analysis and events processing.
Katta - Katta serves large Lucene indexes in a grid environment.
Uses Apache Hadoop FileSytem, RPC and IO
Korrelate - Korrelate correlates online media to offline purchases.
Use Apache Sqoop to get data out of our MPP database into Apache HBase
Use Apache HBase and Apache Pig to process events, summarize event data for reporting, and generate reports on online to offline correlations.
When our transition is complete mid-2014, we will be processing billions of events a month through HBase and have a total data size on the order of 5 TB
Koubei.com Large local community and local search at China.
Using Hadoop to process apache log, analyzing user's action and click flow and the links click with any specified page in site and more. Using Hadoop to process whole price data user input with map/reduce.
Source code search engine uses Apache Hadoop and Apache Nutch.
Language, Interaction and Computation Laboratory (Clic - CIMeC)
Hardware: 10 nodes, each node has 8 core and 8GB of RAM
Studying verbal and non-verbal communication.
100 nodes
Dual quad-core Xeon L5520 @ 2.27GHz & L5630 @ 2.13GHz , 24GB RAM, 8TB(4x2TB)/node storage.
Used for charts calculation, royalty reporting, log analysis, A/B testing, dataset merging
Also used for large scale audio feature analysis over millions of tracks
Lineberger Comprehensive Cancer Center - Bioinformatics Group
This is the cancer center at UNC Chapel Hill. We are using Apache Hadoop/Apache HBase for databasing and analyzing Next Generation Sequencing (NGS) data produced for the Cancer Genome Atlas (TCGA) project and other groups. This development is based on the SeqWare open source project which includes SeqWare Query Engine, a database and web service built on top of Apache HBase that stores sequence data types. Our prototype cluster includes:
8 dual quad core nodes running CentOS
total of 48TB of HDFS storage
HBase & Hadoop version 0.20
We have multiple grids divided up based upon purpose.
~1900 Westmere-based SuperMicro X8DTT-H, with 2x6 cores, 24GB RAM, 6x2TB SATA
~1400 Sandy Bridge-based SuperMicro with 2x6 cores, 32GB RAM, 6x2TB SATA
Sun JDK 1.6.0_32
Apache Hadoop 0.20.2+patches and Apache Hadoop 1.0.4+patches
Pig 0.10 + DataFu
Apache Hive, Apache Avro, Apache Kafka, and other bits and pieces...
We use these things for discovering People You May Know and other fun facts.
We use Hadoop for storing logs, odds analysis, markets analysis.
We use Hadoop to process clickstream and demographic data in order to create web analytic reports.
Our cluster runs across Amazon's EC2 infrastructure and makes use of the streaming module to use Python for most operations.
Using Apache Hadoop and Apache HBase for storage, log analysis, and pattern discovery/analysis.
Using zkpython to connect with Apache Zookeeper
Used EC2, no using many small machines (8GB Ram, 4 cores, 1TB)
18 node cluster (Quad-Core Intel Xeon, 1TB/node storage)
Financial data for search and aggregation
Customer Relation Management data for search and aggregation
Media 6 Degrees
20 node cluster (dual quad cores, 16GB, 6TB)
Used log processing, data analysis and machine learning.
Focus is on social graph analysis and ad optimization.
Use a mix of Java, Pig and Hive.
Medical Side Fx
Use Apache Hadoop to analyze FDA AERS(Adverse Events Reporting System) data and present an easy way to search and query side effects of medicines
Apache Lucene is used for indexing and searching.
MeMo News - Online and Social Media Monitoring
we use Apache Hadoop
as platform for distributed crawling
to store and process unstructured data, such as news and social media (Apache Hadoop, Apache Pig, MapRed and Apache HBase)
log file aggregation and processing (Apache Flume)
20 nodes cluster (12 * 20 cores, 32GB, 53.3TB)
Customers log on on-line apps
Operations log processing
Use java, Apache Pig, Apache Hive, Apache Oozie
We use Hadoop to develop MapReduce algorithms:
Information retrieval and analytics
Machine generated content - documents, text, audio, & video
Natural Language Processing
Project portfolio includes: * Natural Language Processing
Mobile Social Network Hacking
Web Crawlers/Page scrapping
Text to Speech
Machine generated Audio & Video with remuxing
Automatic PDF creation & IR
2 node cluster (Windows Vista/CYGWIN, & CentOS) for developing MapReduce programs.
Moesif API Insights
We use Hadoop for ETL and processing time series event data for alerts/notifications along with visualizations for frontend.
2 master nodes and 6 data nodes running on Azure using HDInsight
18 node cluster (Quad-Core AMD Opteron 2347, 1TB/node storage)
Powers data for search and aggregation
Mail.gr - we use HDFS for hosting our users' mailboxes .
NAVTEQ Media Solutions
Another Apache Bigtable cloning project using Hadoop to store large structured data set.
200 nodes(each node has: 2 dual core CPUs, 2TB storage, 4GB RAM)
NetSeer -
Up to 1000 instances on Amazon EC2
Data storage in Amazon S3
50 node cluster in Coloc
Used for crawling, processing, serving and log analysis
Used EC2 to run hadoop on a large virtual cluster
We use Hadoop to store and process our log files
We rely on Apache Pig for reporting, analytics, Cascading for machine learning, and on a proprietary JavaScript API for ad-hoc queries
We use commodity hardware, with 8 cores and 16 GB of RAM per machine
50-node production workflow cluster (dual quad-core Xeons, 16GB of RAM, 4-6 HDDs) and a couple of smaller clusters for individual analytics purposes
About 500 mln of events processed daily, 15 bln monthly
Cluster generates about 25 GB of reports daily
optivo - Email marketing software
We use Apache Hadoop to aggregate and analyse email campaigns and user interactions.
Development is based on the github repository.
Papertrail - Hosted syslog and app log management
Most customers load gzipped TSVs from S3 (which are uploaded nightly) into Amazon Elastic MapReduce
PCPhase - A Japanese mobile integration company
Using Apache Hadoop/Apache HBase in conjunction with Apache Cassandra to analyze log and generate reports for a large mobile web site.
4 nodes in a private cloud with 4 cores, 4G RAM & 500G storage each.
Performable - Web Analytics Software
We use Apache Hadoop to process web clickstream, marketing, CRM, & email data in order to create multi-channel analytic reports.
Our cluster runs on Amazon's EC2 webservice and makes use of Python for most of our codebase.
Pharm2Phork Project - Agricultural Traceability
Using Hadoop on EC2 to process observation messages generated by RFID/Barcode readers as items move through supply chain.
Analysis of BPEL-generated log files for monitoring and tuning of workflow processes.
Powerset / Microsoft - Natural Language Search
up to 400 instances on Amazon EC2
data storage in Amazon S3
Microsoft is now contributing to Apache HBase ( announcement).
Pressflip - Personalized Persistent Search
Using Apache Hadoop on EC2 to process documents from a continuous web crawl and distributed training of support vector machines
Using HDFS for large archival data storage
4 nodes cluster (32 cores, 1TB).
We use Apache Hadoop for searching and analysis of millions of bookkeeping postings
Also used as a proof of concept cluster for a cloud based ERP system
2 nodes cluster (16 cores, 500GB).
We use Apache Hadoop for analyzing poker players game history and generating gameplay related players statistics
50 node cluster in a colocated site.
Also used as a proof of concept cluster for a cloud based ERP system.
PSG Tech, Coimbatore, India
Multiple alignment of protein sequences helps to determine evolutionary linkages and to predict molecular structures. The dynamic nature of the algorithm coupled with data and compute parallelism of Hadoop data grids improves the accuracy and speed of sequence alignment. Parallelism at the sequence and block level reduces the time complexity of MSA problems. The scalable nature of Hadoop makes it apt to solve large scale alignment problems.
Our cluster size varies from 5 to 10 nodes. Cluster nodes vary from 2950 Quad Core Rack Server, with 2x6MB Cache and 4 x 500 GB SATA Hard Drive to E7200 / E7400 processors with 4 GB RAM and 160 GB HDD.
Apache Hadoop scheduler with fully custom data path / sorter
Significant contributions to KFS filesystem
Parses and indexes logs from email hosting system for search: http://blog.racklabs.com/?p=66
Rakuten - Japan's online shopping mall
69 node cluster
We use Apache Hadoop to analyze logs and mine data for recommender system and so on.
80 node cluster (each node has: 2 quad core CPUs, 4TB storage, 16GB RAM)
We use Hadoop to process data relating to people on the web
We also involved with Cascading to help simplify how our data flows through various processing stages
Hardware: 50 nodes (2*4cpu 2TB*4 disk 16GB RAM each)
We use Apache Hive to analyze logs and mine data for recommendation.
We use Apache Hadoop for our internal search
Hardware: 35 nodes (2*4cpu 10TB disk 16GB RAM each)
We intend to parallelize some traditional classification, clustering algorithms like Naive Bayes, K-Means, EM so that can deal with large-scale data sets.
Hardware: 5 nodes
We use Apache Hadoop to process user resume data and run algorithms for our recommendation engine.
RightNow Technologies - Powering Great Experiences
16 node cluster (each node has: 2 quad core CPUs, 6TB storage, 24GB RAM)
We use Apache Hadoop for log and usage analysis
We predominantly leverage Hive and HUE for data access
We use Apache Hadoop for crawling news sites and log analysis.
We also use Apache Cassandra as our back end and Apache Lucene for searching capabilities
Rovi Corporation
We use Apache Hadoop, Apache Pig and map/reduce to process extracted SQL data to generate JSON objects that are stored in MongoDB and served through our web services
We have two clusters with a total of 40 nodes with 24 cores at 2.4GHz and 128GB RAM
Each night we process over 160 pig scripts and 50 map/reduce jobs that process over 600GB of data
SARA, Netherlands
Search Wikia
A project to help develop open source social search tools. We run a 125 node Hadoop cluster.
SEDNS - Security Enhanced DNS Group
We are gathering world wide DNS data in order to discover content distribution networks and configuration issues utilizing Hadoop DFS and MapRed.
Sematext International
We use Hadoop to store and analyze large amounts search and performance data for our Search Analytics and Scalable Performance Monitoring services.
SLC Security Services LLC
18 node cluster (each node has: 4 dual core CPUs, 1TB storage, 4GB RAM, RedHat OS)
We use Hadoop for our high speed data mining applications
Sling Media
We have a core analytics group that is using a 10-Node cluster running RedHat OS
Hadoop is used as an infrastructure to run MapReduce (MR) algorithms on a number of raw data
Raw data ingest happens hourly. Raw data comes from hardware and software systems out in the field
Ingested and processed data is stored into a relational DB and rolled up using Hive/Pig
Plan to implement Mahout to build recommendation engine
14 node cluster (each node has: 2 dual core CPUs, 2TB storage, 8GB RAM)
We use hadoop to process log data and perform on-demand analytics
We are developing the MrGeo (Map/Reduce Geospatial) application to allow our users to bring cloud computing to geospatial processing.
We use Apache HDFS and MapReduce to store, process, and index geospatial imagery and vector data.
MrGeo is soon to be open sourced as well.
Specific Media
We use Apache Hadoop for log aggregation, reporting and analysis
Two Apache Hadoop clusters, all nodes 16 cores, 32 GB RAM
Cluster 1: 27 nodes (total 432 cores, 544GB RAM, 280TB storage)
Cluster 2: 111 nodes (total 1776 cores, 3552GB RAM, 1.1PB storage)
We contribute to Hadoop and related projects where possible, see http://code.google.com/p/bigstreams/ and http://code.google.com/p/hadoop-gpl-packing/
We use Apache Hadoop for content generation, data aggregation, reporting, analysis (see more: The Evolution of Hadoop at Spotify - Through Failures and Pain) and even for generating music recommendations (How Apache Drives Music Recommendations At Spotify
1650 node cluster : 43,000 virtualized cores, ~70TB RAM, ~65 PB storage (read more about our Hadoop issues while growing fast: Hadoop Adventures At Spotify)
+20,000 daily Hadoop jobs (scheduled by Luigi, our open-sourced job orchestrator - code and video)
Stampede Data Solutions (Stampedehost.com)
Hosted Apache Hadoop data warehouse solution provider
We use Apache Hadoop for sentiment analysis/social media monitoring and personalized marketing
Using 3 node cluster in a visualized environment with a 4th node for SQL reporting
StumbleUpon (StumbleUpon.com)
We use Apache HBase to store our recommendation information and to run other operations. We have HBase committers on staff.
Taragana - Web 2.0 Product development and outsourcing services
Used for testing ideas for blog and other data mining.
The Lydia News Analysis Project - Stony Brook University
We are using Apache Hadoop on 17-node and 103-node clusters of dual-core nodes to process and extract statistics from over 1000 U.S. daily newspapers as well as historical archives of the New York Times and other sources.
Tailsweep - Ad network for blogs and social media
8 node cluster (Xeon Quad Core 2.4GHz, 8GB RAM, 500GB/node Raid 1 storage)
Used as a proof of concept cluster
Handling i.e. data mining and blog crawling
Technical analysis and Stock Research
Generating stock analysis on 23 nodes (dual 2.4GHz Xeon, 2 GB RAM, 36GB Hard Drive)
Collection and analysis of Log, Threat, Risk Data and other Security Information on 32 nodes (8-Core Opteron 6128 CPU, 32 GB RAM, 12 TB Storage per node)
Telefonica Research
We use Apache Hadoop in our data mining and user modeling, multimedia, and internet research groups.
6 node cluster with 96 total cores, 8GB RAM and 2 TB storage per machine.
60-Node cluster for our Location-Based Content Processing including machine learning algorithms for Statistical Categorization, Deduping, Aggregation & Curation (Hardware: 2.5 GHz Quad-core Xeon, 4GB RAM, 13TB HDFS storage).
Private cloud for rapid server-farm setup for stage and test environments.(Using Elastic N-Node cluster)
Public cloud for exploratory projects that require rapid servers for scalability and computing surges (Using Elastic N-Node cluster)
Tepgo- E-Commerce Data analysis
We use Apache Hadoop, Apache Pig and Apache HBase to analyze search log, product view data, and analyze usage logs
3 node cluster with 48 cores in total, 4GB RAM and 1 TB storage each.
We use Apache Hadoop for log analysis.
We use Apache Hadoop HDFS, Map/Reduce, Apache Hive and Apache HBase
We manage over 300 TB of HDFS data across four Amazon EC2 Availability Zone
We use Apache Hadoop for searching and indexing
We use Apache Hadoop to store and process tweets, log files, and many other types of data generated across Twitter. We store all data as compressed LZO files.
We use both Scala and Java to access Hadoop's MapReduce APIs
We use Apache Pig heavily for both scheduled and ad-hoc jobs, due to its ability to accomplish a lot with few statements.
We employ committers on Apache Pig, Apache Avro, Apache Hive, and Apache Cassandra, and contribute much of our internal Hadoop work to opensource (see hadoop-lzo)
For more on our use of Apache Hadoop, see the following presentations: Hadoop and Pig at Twitter and Protocol Buffers and Hadoop at Twitter
We use Apache Hadoop to assemble web publishers' summaries of what users are copying from their websites, and to analyze user engagement on the web.
We use Apache Pig and custom Java map-reduce code, as well as Apache Chukwa.
We have 94 nodes (752 cores) in our clusters, as of July 2010, but the number grows regularly.
Universidad Distrital Francisco Jose de Caldas (Grupo GICOGE/Grupo Linux UD GLUD/Grupo GIGA)
University of Freiburg - Databases and Information Systems
10 nodes cluster (Xeon Dual Core 3.16GHz, 4GB RAM, 3TB/node storage).
Our goal is to develop techniques for the Semantic Web that take advantage of MapReduce (Hadoop) and its scaling-behavior to keep up with the growing proliferation of semantic data.
RDFPath is an expressive RDF path language for querying large RDF graphs with MapReduce.
PigSPARQL is a translation from SPARQL to Pig Latin allowing to execute SPARQL queries on large RDF graphs with MapReduce.
University of Glasgow - Terrier Team
30 nodes cluster (Xeon Quad Core 2.4GHz, 4GB RAM, 1TB/node storage). We use Hadoop to facilitate information retrieval research & experimentation, particularly for TREC, using the Terrier IR platform. The open source release of Terrier includes large-scale distributed indexing using Hadoop Map Reduce.
University of Maryland
We are one of six universities participating in IBM/Google's academic cloud computing initiative. Ongoing research and teaching efforts include projects in machine translation, language modeling, bioinformatics, email analysis, and image processing.
University of Nebraska Lincoln, Holland Computing Center
We currently run one medium-sized Hadoop cluster (1.6PB) to store and serve up physics data for the computing portion of the Compact Muon Solenoid (CMS) experiment. This requires a filesystem which can download data at multiple Gbps and process data at an even higher rate locally. Additionally, several of our students are involved in research projects on Apache Hadoop.
University of Twente, Database Group
We run a 16 node cluster (dual-core Xeon E3110 64 bit processors with 6MB cache, 8GB main memory, 1TB disk) as of December 2008. We teach MapReduce and use Apache Hadoop in our computer science master's program, and for information retrieval research. For more information, see: http://mirex.sourceforge.net/
Bygga hus
We use an Apache Hadoop cluster to for search and indexing for our projects.
uses Hadoop as a component in our Scalable Data Pipeline, which ultimately powers VisibleSuite and other products. We use Hadoop to aggregate, store, and analyze data related to in-stream viewing behavior of Internet video audiences. Our current grid contains more than 128 CPU cores and in excess of 100 terabytes of storage, and we plan to grow that substantially during 2008.
VK Solutions
We use a small Apache Hadoop cluster in the scope of our general research activities at VK Labs to get a faster data access from web applications.
We also use Apache Hadoop for filtering and indexing listing, processing log analysis, and for recommendation data.
Web Alliance
We also use it for logs analysis and trends prediction. '
We use Apache Hadoop for our webmaster tools. It allows us to store, index, search data in a much fast way. We also use it for logs analysis and trends prediction.
4 node cluster (each node has: 4 core AMD CPUs, 2TB storage, 32GB RAM)
We use Apache Hadoop to process log data and perform on-demand analytics as well
Hardware: 44 servers (each server has: 2 dual core CPUs, 2TB storage, 8GB RAM)
Each server runs Xen with one Apache Hadoop/Apache HBase instance and another instance with web or application servers, giving us 88 usable virtual machines.
We run two separate Apache Hadoop/Apache HBase clusters with 22 nodes each.
Apache Hadoop is primarily used to run Apache HBase and Map/Reduce jobs scanning over the Apache HBase tables to perform specific tasks.
Apache HBase is used as a scalable and fast storage back end for millions of documents.
Currently we store 12 million documents with a target of 450 million in the near future.
More than 100,000 CPUs in >40,000 computers running Hadoop
Our biggest cluster: 4500 nodes (2*4cpu boxes w 4*1TB disk & 16GB RAM)
Used to support research for Ad Systems and Web Search
Also used to do scaling tests to support development of Apache Hadoop on larger clusters
Our Blog - Learn more about how we use Apache Hadoop.
>60% of Hadoop Jobs within Yahoo are Apache Pig jobs.
operating a Cloudera cluster for media monitoring purpose
offering technical and operative consulting for the Apache Hadoop stack + ecosystem
editor of Hannibal, a open-source tool to visualize Apache Apache HBase regions sizes & splits that helps running HBase in production
10 node cluster (Dual-Core AMD Opteron 2210, 4GB RAM, 1TB/node storage)
Run Naive Bayes classifiers in parallel over crawl data to discover event information


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March 16, 2004Los Angeles — Now its 47th year, the Gerald Loeb Awards for Distinguished Business and Financial Journalism will hold its annual preliminary judging meeting at UCLA Anderson School of Management on March 15, 2004. This year's preliminary judges include leading journalists representing major print and broadcast media organizations from across the nation, as well as UCLA Anderson faculty members.
The Loeb Awards are considered the most prestigious honor in business journalism and recognize writers, editors and producers who make significant contributions to the understanding of business, finance and the economy. This year the preliminary judges will be considering 394 entries for the contest, an all-time record.
Each of the Loeb Awards preliminary judges reviews all entries in one of the 10 competition categories to narrow the field to approximately four finalists, which then advance to the final judging round in the spring in New York City. The finalists are determined collectively by each category panel in separate deliberation sessions.
"We're pleased to welcome 17 new preliminary judges for this year's competition," said Bruce G. Willison, dean of UCLA Anderson and chairman of the G. and R. Loeb Foundation. "The Loeb Awards have always attracted outstanding judges, and we're pleased to continue that tradition."
Willison noted that this year, the Loeb Award preliminary judging panel has increased from 40 to 50 judges, extending the geographical diversity of the group. Some 26 judges will be traveling from outside Southern California to participate in this year's judging sessions, added Willison, who serves as a final judge for the Loeb Awards.
The 17 new judges for the 2004 competition are:
John Andrews, west coast editor and Los Angeles bureau chief, The Economist
Neil Chase, managing editor, CBS MarketWatch.com
Judith H. Dobrzynski, managing editor, business news, CNBC-TV
David Fritze, business editor, The Arizona Republic
Eric Gelman, executive editor, Money
Vindu Goel, business editor, San Jose Mercury News
Howard Gold, editor, Barron's Online
Daniel Goodgame, managing editor, Fortune Small Business
Michele Matassa Flores, deputy investigations editor, The Seattle Times
Tom O'Hara, managing editor, The Plain Dealer
Jeff Pelline, editor, CNET News.com
Ned Popkins, business editor, Orlando Sentinel
Chuck Ross, publisher and editorial director, Television Week
Ramona Schindelheim, business editor, ABC News
Alecia Swasy, deputy managing editor, The Virginian-Pilot
Mark Vamos, executive editor, Fast Company
Kathy Warbelow, business editor, Austin American-Statesman
Returning preliminary judges for the 2004 competition are:
Adam Bryant, business editor, Newsweek
Kate Butler, senior business team leader, Orange County Register
Jeffrey Cole, director, Center for Communication Policy, UCLA Anderson School of Management
Jeffrey Daniels, producer, CNBC-TV
Bennie DiNardo, deputy business editor, The Boston Globe
Jill Dutt, assistant managing editor, The Washington Post
Carmen Fleetwood, assistant managing editor, Dow Jones Newswire
Gonzalo Freixes, lecturer, UCLA Anderson School of Management
Daniel Gaines, online business editor, Los Angeles Times
Gary Gentile, business writer, Associated Press
Hank Gilman, deputy managing editor, Fortune
Ronald Grover, Los Angeles bureau manager, BusinessWeek
Edwin Guthman, senior lecturer, Journalism, University of Southern California
Kathryn Harris, columnist, Bloomberg News
Jerry Hirsch, staff writer, Los Angeles Times
Peter Imber, producer, ABC News
Matt Krantz, reporter, USA Today
Mark Lacter, editor, Los Angeles Business Journal
Kathy Leverett, producer, NBC News
Simon London, U.S. management editor, Financial Times
Seth Lubove, West Coast bureau manager, Forbes
Margot Roosevelt, national correspondent, Time Magazine
Jim Schachter, deputy business editor, The New York Times
Vincent Schodolski, Los Angeles bureau chief, Chicago Tribune
Eric Schurenberg, deputy editor, Business 2.0
Michael Siconolfi, senior editor, money and investing, The Wall Street Journal
Jennifer Siebens, Los Angeles bureau chief, CBS News
Betsy Streisand, West Coast bureau chief, U.S. News and World Report
Stephen West, media editor, Bloomberg News
Casey Wian, West Coast bureau chief, financial news, CNN
Betty Wong, managing editor, Americas, Reuters
Sam Zuckerman, economics writer, San Francisco Chronicle
The 2004 Loeb Award winners will be announced at a banquet and presentation ceremony June 28, 2004, at The Plaza in New York City. The recipients of the Lawrence Minard Editor Award and the Lifetime Achievement Award will also be honored.
The Gerald Loeb Awards for Distinguished Business and Financial Journalism were established in 1957 by Gerald Loeb, a founding partner of E.F. Hutton, to encourage quality reporting to inform and protect private investors and the general public. Winners are selected each year in a variety of print and broadcast categories, and career achievements are recognized with the Lawrence Minard Editor Award and the Lifetime Achievement Award. Judges are drawn from leading print and broadcast media nationwide. UCLA Anderson School of Management has sponsored the Loeb Awards since 1973.


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A fashionable read
Fashion doesn't just belong on clothes hangers. This holiday season, a fashion tome is right at home on a coveted bookshelf. That's why it's the perfect present for that hard-to-shop-for fashionista on your gift list.
Filled with gorgeous photos — the bigger the book the more spectacular the shots — fashion books also are informative and inspiring. And best of all, they come with stylish tips from what to wear with what to hair and make-up makeover suggestions.
So, if you're short on gift-giving ideas, look to a book with some sartorial sass.
"Fashion: The Definitive History of Costume and Style," (DK Publishing, $50)
This book is stunning and approaches fashion like art, music and literature: rich with its own history. While most fashion followers (or not) are almost always interested in newness, "Fashion" also reminds us of the past with stories such as Balenciaga examining the form of medieval religious vestments or Mick Jagger channeling severe Beau Brummell elegance.
Divided into chapters that include the Roman Empire to the fashion empire of Louis Vuitton, the book is a complete study of style from fluid drapery to trends in tunics to prints and patterns. From the imperial opulence of the 1860s to the power suit of the 1970s, no detail is left out, proving that what we wear says who we are.
Fave page: 306 — "Hollywood's ascent in the fashion industry was helped because designers had to create outfits that looked ahead of the trend by the time the movie was released. The fashions were then copied by retailers and American design started to move away from Paris — 'historical' couture styles of the 1930s, for example, borrowed from Hollywood costume."
"Bobbi Brown, Pretty Powerful," (Chronicle Books, $29.95)
Make-up artist Bobbi Brown has interviewed dozens of women, celebrities and athletes for her make-up manual about beauty. Step-by-step, she shows how to achieve various looks worn by actresses Blythe Danner and Gabourey Sidibe, fashion designer Rachel Roy, musician Alexa Ray Joel, professional golfer Natalie Gulbis and writer Lee Woodruff, among others.
She explains each look starts with who you are, rather than how you look. Throughout she shares secrets for striking eyes (dramatic smoky eyes in unusual colors make for a sexy statement at night), youthful skin (sunscreen is essential), pretty lips (red lipstick because it's simple and beautiful) and perfect brows for any age, skin color or beauty type.
The book includes dramatic makeover ideas in natural, classic and bold looks as well as recommendations for the best tools and products. Best of all are the many inspiring beauty stories that prove that lasting beauty is both on the inside and out.
Fave page: 278 — "Women look and feel their best when they are comfortable. But if you don't experiment with different looks, you can get stuck in a beauty rut. You will never know what looks, colors or formulas you will fall in love with unless you try them."
"Marie Claire: Outfit 911," (Hearst Books, $24.95)
You've been there facing your closet, stressing about what to wear to that wedding, date or job interview. This little book comes to the rescue with fabulous fixes for just about any fashion emergency.
Filled with photos of fashion-forward celebs (Katy Perry, Eva Mendes, Jennifer Lopez), this style safety guide showcases tips from the magazine's editors along with more sartorial advice from gurus Tim Gunn, Michael Kors and Donna Karan.
Fave page: 112 — "Precisely because a great coat is an attention-getting entrance-maker is all the more reason why, for special occasions, you want a cool classic — not a gone-tomorrow trend. Aim for a versatile, universally flattering silhouette — one that's narrow, figure-skimming and falls somewhere around the knee."
"Fifty Fashion Looks That Changed the 1950s," (Conran Octopus, $20)
This is one in a series of three books (two others explore looks that changed the 1960s and 70s) from London-based Design Museum, a leading museum devoted to contemporary design such as fashion, furniture and architecture. Each book is ideal for design students and collectors of vintage clothing.
The trio of titles, written by Paula Reed, style director at the Italian weekly women's magazine, Grazia, celebrates the most revolutionary, influential and definitive looks of three decades in fashion,
Our favorite is the 1950's tome that includes the bombshell glamour of Marilyn Monroe, the emergence of teen style, the groundbreaking fashion of Christian Dior's New Look and much more, including terrific photographs of Audrey Hepburn, Grace Kelly, Sophia Loren and other celebs of that decade.
Fave page: 94 — "With the launch of Dior's New Look, it behooved shoe designers to step up to the mark with something equally ground breaking. Enter French shoe designer Robert Vivier, who mastered the technology that enabled women to wear a teetering heel ... Ladies were offered lessons to help them walk properly, and there was considerable alarm over the damage stilettos might do to polished floors."
"What on Earth Are You Wearing?" (Chronicle Books, $18.95)
Ever wondered what retro actually means (lazy rehash) or whether fatigues really are tired (yes, because they just can't muster the energy for pretty colors). Well, this wicked little encyclopedia wittily tells it like it is.
Alongside vibrant watercolor illustrations by Kat Macleod, fashion forecasters Chloe Quigley and Daniel Pollock define nearly 300 terms, all of which are hilarious and make for a page turner.
Fave page: 42 — Gingham: checked pattern mainly kept to tablecloths and buxom ladies called Mary Anne lost on desert islands.
"The Perfect Gentleman," (Thames & Hudson, $65)
If the modern man on your list is a bit picky when it comes to looking his sartorial best, this lavish publication is for him. Every detail and accessory is presented through the eyes of, well, a perfectionist in pursuit of elegance in men's attire.
And apparently, all roads lead to London's historic West End, where the quarters of Mayfair, Piccadilly and St. James have been occupied since 1666 by the likes of hatters and jewelers, shoemakers and shirt makers and other craftspeople of fine gentlemen's requisites.
This scholarly study by James Sherwood is also a celebration of the bespoke look worn by the likes of Cary Grant, Oscar Wilde, Beau Brummell and Princes William and Harry, who are featured in the pages that pursue timeless elegance, style and immaculate manners.
Fave page: 180 — "While the masses tweet, text and e-mail with ever-increasing volume and speed, the gentleman who takes time to pen a letter on his own writing paper is signifying that the recipient commands respect, affection and the consideration of time."
"The Gentry Man," (Harper Design, $19.99)
Here's another guide for the civilized dude from the pages of the once-upon-a-time Gentry magazine that published from 1951 to 1957. Yes, classic style such as short-sleeved linen shirts, double-breasted suits and velvet shirt jackets, is forever.
More than 50 years after it ceased publication, Gentry is still regarded as one of the most influential men's magazines ever created. The book features articles selected by Hal Rubenstein, fashion director of InStyle magazine, who writes that back then, Gentry was the style and culture bible for guys.
Art, culture, sports, home, cars, travel, food and drink were among the many popular topics featured, as was fashion, such as how to wear an ascot to tips on pulling together a weekend wardrobe — suggestions that still work today.
Fave page: 56 — "In the wake of the returning popularity of the French cuff, an increasing interest has developed in well-designed jewelry accessories. Collar pins, tie bars, cuff links and matching sets are now available in new varieties of design, composition, color, size."


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It is certainly possible to express ordinary quantum mechanics in the framework of a real vector space: by adopting a suitable restriction on all operators--Stueckelberg's rule--one can make the real-vector-space theory exactly equivalent to the standard complex theory. But can we achieve a similar effect without invoking such a restriction? In this talk I explore a model within real-vector-space quantum theory in which the role of the complex phase is played by a separate physical system called the ubit (for "universal rebit"). The ubit is a single binary real-vector-space quantum object that is allowed to interact with everything in the world. It also rotates in its two-dimensional state space. In the limit of infinitely fast rotation, one recovers standard quantum theory. When the rotation rate is large but not infinite, one finds small deviations from the standard theory. Here I describe a few such deviations that we have seen numerically and explained analytically.


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Assemblyman Anthony Portantino (D-La Cañada Flintridge) and Sen. Carol Liu (D-La Cañada Flintridge) received honors recently.
Portantino was named Legislator of the Year by the Junior Leagues of California, recognizing his introduction of several bills during the past several years in areas of health, education and violence prevention.
Liu was named Senator of the Year by the California Community Colleges Board of Governors and Chancellor's Office for being a longtime advocate for community colleges.
In 2010, she wrote legislation that created the California Colleges Students Success Task Force, which earlier this year released a report that included recommendations to improve graduation, certificate and transfer rates in the system's 112 colleges.
-- Mark Kellam, Times Communtiy News
Twitter: @LAMarkKellam


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The rain-soaked Southland is expected to dry out in the coming days, with increasingly warm and sunny weather predicted into next week.
Friday's storm brought with it a significant uptick in car crashes, along with flood warnings and rainy-day cancellations. However, widespread power outages were not reported.
As of Friday afternoon, the storm had dropped more than an inch of rain on some foothill cities, while other areas received well over a half-inch, according to the National Weather Service.
NWS officials issued a flood advisory for portions of southern Los Angeles County including Sierra Madre, Monterey Park and Diamond Bar through 3 p.m. Friday, during one of the heaviest periods of rainfall.
Officials in Glendora handed out sandbags at the city yard for residents worried about flooding.
The Diamond Bar Birthday Party in Pantera Park, initially planned for today, was postponed to May 12, because of the heavy rain. The celebration had to be moved as a precautionary measure to protect the park's rain-soaked turf from being seriously damaged by the delivery and pickup of heavyweight equipment and rides, officials said.
The California Highway Patrol responded to 249 crashes in Los Angeles County, compared with 68 crashes on the previous Friday, when it was not raining.
The southbound Del Mar Avenue on-ramp to the westbound 10 Freeway was shut down Friday afternoon after the roadway was badly flooded, according to CHP logs.
But the rain is expected to move out of the area by today, with the possible exceptions of Los Angeles County mountain ranges, which could see rain into this afternoon, NWS weather specialist Stuart Seto said.
"We'll see pretty much a warm-up Sunday through the middle of next week, with temperatures getting above normal Tuesday through Thursday," Seto said.
Tuesday will likely be the warmest day, with a predicted high temperature of 82 degrees.
High temperatures are expected to remain in the high-70s through the end of the week, Seto added.
In short, Seto said, "A beautiful week ahead."
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