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Trinity Sunday – Sunday, May 27, 2018
May 27, 2018
Isaiah 6:1-8
We believe God is the creator of all. We in the Evangelical Lutheran Church in America are, therefore, one with humankind made in the image of God, and one with the whole creation.
We believe God is the Word embodied in Jesus Christ who unites us through baptism with all Christians in the one, holy, catholic and apostolic church. As Lutherans, we are united in our confession that we are justified by grace through faith in Jesus Christ and liberated to serve God's whole creation, seeking peace and justice.
We believe that God the Holy Spirit is always at work, transforming and inspiring new ways of living in this world toward God's promised, beloved, eternal community.
Grounded in this understanding of the Triune God, we believe God's intention for humanity is abundant life for all.
So begins the ELCA's "Draft of a Social Statement on Women and Justice." I can't think of a better way to begin a sermon on the trinity, a better way to focus on what it means for us as Christians, and then on another level what it means for us as Lutherans, to believe in a triune God.
We believe in God as our creator, God the Word embodied in Jesus Christ who unifies us, justifies us through faith, and liberates us to serve. We believe in God the Holy Spirit who is always at work, transforming and inspiring news of living.
This is our God, three in one and one in three. This is our God.
Worshiping a triune God is, perhaps, one of the most difficult subjects to preach and to teach—worshiping a triune God challenges reason and logic. Believing in God as Creator and Savior and Holy Spirit—when I taught World Religions at Western this was one of the things students always lifted up in their critiques of Christianity: the concept is simply too complex.
Which is why the Rev. Dr. Martin Luther said, in his sermon on Trinity Sunday, that Christians need to "Renounce your reason and close your eyes; cling only to [The] Word and believe it" (Sermons of Martin Luther, vol. 3, p. 413).
When we cling to the Word we are clinging to Christ. When we cling to the Word we believe in Christ's power to save us. When we cling to the Word we cling to Jesus, who was with God in the beginning and who was God (John 1:1). When we cling to the Word we cling to Jesus who told us "When the Spirit of truth comes, [the Spirit] will guide you into all truth… and [the Spirit] will glorify me, because [the Spirit] will take what is mine and declare it to you" (John 15:13-14).
When we cling to the Word we can be imitators of the prophet Isaiah.
In our first reading today, the prophet wrote of a vision he had. Isaiah said he saw a vision of God on a throne. Isaiah said he saw angels surrounding the throne, he heard angels singing to God and to one another, singing words similar to those we sang this morning, "Holy, holy, holy, Lord God almighty…" (Isaiah 6:3). Isaiah said (to himself? To God?) "Woe is me… I am lost… I am a man of unclean lips… I live among a people of unclean lips… Yet my eyes have seen the king… (Isaiah 6:5).
Just like Isaiah, we were a lost people. We were unclean. But then Jesus came to the world, a gift of God, a gift of God's SELF! When Jesus came to the world all of humanity saw our Sovereign God made human. And the world was saved.
In his vision, after an angel touched Isaiah's lips with a burning coal and told Isaiah "Your guilt has departed and your sin is blotted out" (Isaiah 6:7).
And then…God spoke to Isaiah, asking "Whom shall I send? Who will go for us?" (Isaiah 6:8a). And Isaiah answered God: "Here am I; send me!" (Isaiah 6:8b).
Now it is our turn.
God continues to speak to us. God continues to ask "Whom shall I send? Who will go for us?"
Our answer is "me." Our answer is "we." Send me. We will go.
God created the world, making the world good. God came to the world embodied in Jesus Christ, saving the world and calling is forward to seek justice and peace. God the Holy Spirit continues to work in us and through us, finding new ways to inspire us.
As children of God, may we be inspired to bring abundant life to all, as God intends.


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(1) Our body is two-thirds water and one-third matter, and hence water is more important to our bodies, than food (which is what we are doing now).
(2) What happens at the cell level if we consume less water:
Intra-cellular fluid is drawn into extra-cellular fluid. Cells lose water and salts such as sodium and potassium.
Cells hence contract and this affects their chemical reaction
Cells cannot convert the food consumed into energy
(3) What happens to the body when we consume less water:
Constipation because the digested and undigested food cannot move easily
Dry skin, dry eyes, dry mouth etc
Waste cannot be purged out completely and will accumulate in the body
Wastes such as dead cells etc cannot get purged and hence remain in the body and harden
When water level in the body is reduced, most important electrolytes are also lost
Body reabsorbs water from the large intestines. This results in the recirculation of "dirty water" polluted with bad bacteria from the stools in the body - resulting in bad odors, skin diseases etc
(4) What happens to kidneys when less water is consumed:
Kidneys still must do the same amount of filtering of blood. There is no change in the blood flow to kidneys
Water percentage in the filtered blood by kidneys is reduced.
Hence, after the blood is filtered, less urine is produced
Urea, uric acid, creatine, phosphates, waste material-containing nitrogen hence accumulate in blood
Unless urine is discharged these waste material are not purged out. Since less urine is produced, the waste material accumulates in the kidneys
(5) Many doctors say 2 to 2.5 liters of water is what we need per day. This is because our body discards that much water through our breathing, sweat, urine and feces in a day. Applying the rule input should be equal to output rule, this fits. But this is not sufficient amount for us unless we are living like saints, eating uncooked foods with all the natural water intact, not getting upset and excited in our day to day lives etc. Because we are mainly eating cooked foods containing too much salt, oil, sugar, spices and other such ingredients which require us to drink more water to purge the waste.
(6) Signs that the body is in need of more water:
Dark colored urine
Smell in urine
Burning during peeing
Dry skin
Dry eyes
Thirst – unfortunately the only sign we react to.
(7) Hence Dr. Raju, upon extensive experimenation, says we need to consume 4-6 liters of water, systematically.
Hydrate body
This will purge waste from our body
Eliminate constipation
Eliminate bad odors, bad breath, help with skin issues etc
Help eliminate our respiratory issues by eliminating dehydration
Help the glands and internal organs function properly
Eliminate indigestion by aiding the production of digestive acids
Eliminate gastric troubles by washing out the excessive digestive acids
Monday, July 2, 2007
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Once a clerk in Posts and Telegraph department, Jitan Ram Manjhi, a 'mahadalit' who was picked by Nitish Kumar to lead Bihar, is an old hand in the state's politics with stints as minister in Congress, RJD and JD(U) governments since 1980.
Mr Manjhi, a six-time MLA who was elected from Makhdumpur reserved constituency in Jehanabad district, was minister for SC & ST Welfare in the outgoing Nitish Kumar government.
Known for maintaining low profile, Mr. Manjhi had been instrumental in Mr. Kumar's reaching out to 'mahadalits'.
Mr Kumar had created this subsection within Dalits sans the Paswan caste to tap the support from this numerically strong section. Mr. Manjhi's own caste 'Mushar' was recently designated as 'mahadalit' by the state government.
Mr Manjhi is credited with popularising radio among the 'mahadalits' so that they could be made aware of government programmes for weaker sections.
Born on October 6, 1944 at Mahkar village in Gaya district, Mr Manjhi's father Ramjit Ram was an agricultural labourer. Mr Manjhi himself was put to work in the fields by landlords during his childhood days.
But as a child he had a passion for education. With encouragement provided by his father and a tutor hired for a rich landlord children, Mr Manjhi completed studies till class 7 without attending school.
He then took admission in a High School and went on to graduate in History from Gaya College in 1967. During his student days he was active CPI member.
Mr Manjhi took up the job of clerk with Posts and Telegraph department in 1968 but quit it in 1980 to join Congress.
That year he won on Congress ticket from Fatehpur (Reserved) Assembly constituency and became a deputy minister of welfare in 1983 in the government of Chandra Shekhar Singh.
He was also member of Congress government of Bindeswari Dubey.


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PALO ALTO, CA--(Marketwired - June 06, 2013) - Ephox (ephox.com), an extended-time IBM company accomplice, will exhibit how its rich text enhancing utility, EditLive!, can simplify the procedure of developing and contributing web content material at the 2013 IBM terrific web event experience. The conference, which specializes in how businesses can deliver engaging web experiences, takes place in Berlin, Germany, June 11-13, 2013.
In January, Ephox unveiled EditLive! for IBM Connections, a rich text editor that lets Connections users easily create amazing content material. EditLive! for IBM Connections extends an extended partnership with IBM, during which EditLive! has empowered non-technical authors with the capability to create incredible content inside IBM web content supervisor.
"excellent content is the important thing to an outstanding internet experience," based on Tom Smith, Ephox VP of global earnings and advertising. "Ephox wealthy text modifying options help companies easily make a contribution greater content and accelerate the adoption of IBM Connections, ensuring they maximize their business outcomes."
EditLive! presents an excellent prosperous textual content enhancing experience which in turn empowers users to create fantastic content, even if or not it's in IBM Connections or IBM internet content supervisor. content authors may also be extra productive and contribute better first-rate content, therefore increasing the price of the platform and their company.
entertaining capabilities of the EditLive! prosperous textual content editor include: clean copy and paste from Microsoft office, inline spell checking and thesaurus, photograph import and enhancing, accessibility compliance checking, inline track changes and commenting, and damaged hyperlink checking.
in addition to a June 12 speakme session titled "increase ROI and Adoption through a superb editing journey," conference attendees can see a demo of EditLive! for IBM Connections and IBM net content manager on the Ephox sales space.
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Embedded Video accessible: http://youtu.be/caChTZQCxhQ
Sitecore®, the leader in digital journey administration utility, nowadays announced a new global partnership with IBM iX, some of the world's greatest digital companies and international business design companions. The partnership will make purchasable to purchasers Sitecore's leading net content administration, commerce, and advertising options by means of IBM iX designers, know-how experts, and business strategists in 40 IBM Studios global.
The expanded partnership brings collectively the total breadth of IBM iX's capabilities to capitalize on the turning out to be demand for digital marketing capabilities that create totally-personalized consumer experiences across all digital touchpoints.
Matthew sweet, world leader, IBM iX, pointed out that "client adventure is the key strategic purpose of many businesses and core to those corporations' means to transform. i am very excited that they are expanding out their latest relationship with Sitecore into a world partnership, as they turn into an important player in their ecosystem of companions."
As a global Platinum accomplice within the Sitecore solution issuer program, IBM iX offers the realm-category consulting, design, development and implementation capabilities required to set up options on the Sitecore platform and deliver incredible results for consumers. Matched to Sitecore's main digital event management capabilities, organisations can provide conclusion-consumers with seamless, omnichannel experiences to power differentiation, promote business transformation, and boost revenue and consumer lifetime value. The IBM iX and Sitecore partnership is additional empowered with top of the line practices and accelerators, as well because the skill to leverage the vigor of IBM Cloud and IBM Watson expertise. IBM iX additionally brings to endure the unparalleled talents of Bluewolf, an IBM company, creating experiences with Salesforce, with whom Sitecore has a strategic alliance.
IBM iX and Sitecore® Launch global advertising features and expertise settlement
Partnership to bring customer experiences that drive manufacturer loyalty and enhance competitive advantage
SAN FRANCISCO, Jan. 29, 2019 /PRNewswire/ -- Sitecore®, the international chief in digital journey administration utility, these days introduced a brand new global partnership with IBM iX, probably the most world's biggest digital agencies and international business design companions. The partnership will make attainable to valued clientele Sitecore's leading web content administration, commerce, and advertising options via IBM iX designers, technology specialists, and industry strategists in 40 IBM Studios international.
IBM iX is a confirmed leader in supplying Sitecore options, with greater than a decade's success of the two corporations working together in Europe to handle CMOs' crucial want for improved return on advertising and marketing funding. The accelerated partnership brings collectively the total breadth of IBM iX's capabilities to capitalize on the growing demand for digital advertising and marketing capabilities that create tremendously-customized customer experiences throughout all digital touchpoints.
Matthew candy, international chief, IBM iX, mentioned that "consumer experience is the important thing strategic aim of many agencies and core to tese corporations' capacity to transform. i am very excited that we're increasing out their present relationship with Sitecore into a world partnership, as they develop into an important player in their ecosystem of companions."
As a world Platinum partner in the Sitecore solution provider software, IBM iX provides the world-classification consulting, design, construction and implementation functions required to install solutions on the Sitecore platform and carry extremely good consequences for shoppers. Matched to Sitecore's leading digital event administration capabilities, agencies can provide end-customers with seamless, omnichannel experiences to power differentiation, promote business transformation, and boost revenue and customer lifetime value. The IBM iX and Sitecore partnership is additional empowered with finest practices and accelerators, as well because the capacity to leverage the power of IBM Cloud and IBM Watson expertise. IBM iX additionally brings to bear the unparalleled knowledge of Bluewolf, an IBM enterprise, developing experiences with Salesforce, with whom Sitecore has a strategic alliance.
"IBM iX offers the strength, scale, and way of life of innovation required to deliver immersive, end-to-conclusion digital options for their joint purchasers," noted Mark Zablan, Chief income Officer for Sitecore. "Our partnership makes a mighty aggregate for agencies who want to speed up the digitization of their business and foster a consumer-centric strategy to digital transformation."
For more suggestions on IBM iX, consult with www.ibm.com/ibmix and observe @IBM_iX on Twitter.
About SitecoreSitecore is the global chief in digital event administration software that mixes content material management, commerce, and customer insights. The Sitecore journey Cloud™ empowers marketers to bring customized content in actual time and at scale throughout each channel—earlier than, during, and after a sale. more than 5,200 manufacturers––including American specific, Carnival Cruise lines, Dow Chemical, and L'Oréal––have depended on Sitecore to deliver the customized interactions that delight audiences, construct loyalty, and pressure revenue.
ContactMatt KrebsbachSr. Director, Public & Analyst members of the family at email@example.com
Sitecore Media RelationsWE firstname.lastname@example.com
Sitecore®, personal the event®, Sitecore adventure Cloud™, Sitecore xConnect™, Sitecore Cortex™, Sitecore® experience Platform™, Sitecore experience manager™ and Sitecore® journey Database™ are registered emblems or trademarks of Sitecore corporation A/S in the united states and different nations. All different company names, product names or trademarks belong to their respective holders.
brand - https://mma.prnewswire.com/media/334493/sitecore_logo.jpg
source Sitecore
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Spreadsheets also fall down when the data isn't well-structured or can't be sorted out in neat rows and columns. And, if you have millions of rows or very sparse matrices, then the data in a spreadsheet can be painful to enter and it can be hard to visualize your data. Spreadsheets also have issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the same spreadsheet.
A spreadsheet containing up-to-the-minute data can also be a problem, particularly if you have exported graphics that need to be refreshed when the data changes. Finally, spreadsheets aren't good for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.
While spreadsheets and self-service BI tools both make use of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a way to store and display calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is all about the math more than the model itself.
This is all a long-winded way of saying that when businesses use a spreadsheet, they are actively sabotaging themselves and their ability to consistently get valuable insights from their data. BI tools are specficially designed to help businesses better understand their data, and can prove to be a huge benefit to those upgrading from what a limited spreadsheet can do.What Is Business Intelligence?
Defining BI is tricky. When you examine what it does and why companies use it, it can start to sound vague and nebulous. After all, many different kinds of software offer analytics features, and all businesses want to improve. Understanding what a BI is or isn't can be unclear.
BI is an umbrella term meant to cover all of the activities necessary for a company to turn raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own existence and operations. The ultimate goal is being able to increase profits and sharpen its competitive edge.
Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and contract information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can do regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the art of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.
BI software has been instrumental in this steady progression towards more in-depth knowledge about the business, competitors, customers, industry, market, and suppliers, to name just a few possible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too large and complex to be entirely handled by mere humans. Early efforts to do these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of certain operations or software buckets. This was the case unless IT took on the task of integrating various silos, typically through painstaking and highly manual processes.
While BI software still covers a variety of software applications used to analyze raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main difference between today's BI software and Big Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from small to large. Big Data analytics and apps handle data analysis for very large data sets, such as silos measured in petabytes (PBs).Self-Service BI and Data Democratization
The BI tools that were popular half a decade or more ago required specialists, not just to use but also to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to get and understand the business—the company decision makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a series of "standard" reporting that analysts would run on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can be highly valuable in fast-moving situations.
This problem has led to a growing new trend among new BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to be available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and decision makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management tool arsenal, but IT no longer acts as a bottleneck to every query and report request.
As a result, users can take advantage of this distributed BI model. Key tools and critical data have moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with new BI software. This results in a whole new kind of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they need but how they need to use it.
The emerging crop of BI tools all work hard at developing front-end tools that are more intuitive and easier to use than those of older generations—with varying degrees of success. However, that means a key criteria in any BI tool purchasing decision will be to evaluate who in the organization should access such tools and whether the tool is appropriately designed for that audience. Most BI vendors indicate they're looking for their tool suites to become as ubiquitous and easy to use for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. None have gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI tool suites tend to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should happen now), and predictive (what will happen later).What Is Data Visualization?
In the context of BI software, data visualization is a fast and effective method of transferring information from a machine to a human brain. The idea is to place digital information into a visual context so that the analytic output can be quickly ingested by humans, often at a glance. If this sounds like those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.
But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to reach more granular information on one or more aspects incorporated in the bigger picture. For example, new values can be added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can turn a static visual into an animation or a dashboard.
The best visualizations do not seek artistic awards but instead are designed with function in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may look impressive at first glance but, if your audience needs help to understand what's being conveyed, then they've ultimately failed.
Most BI software, including those reviewed here, comes with visualization capabilities. However, some products offer more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are also third-party and even free data visualization tools that can be used on top of your BI software for even more options.Products and Testing
In this review roundup, I tested each product from the perspective of a business analyst. But I also kept in mind the viewpoint of users who might have no familiarity with data processing or analytics. I loaded and used the same data sets and posed the same queries, evaluating results and the processes involved.
My aim was to evaluate cloud versions alone, as I often do analysis on the fly or at least on a variety of machines, as do legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One example of this is Tableau Desktop, a favorite tool of Microsoft Excel users who simply have an affinity for the desktop tool (and who just move to the cloud long enough to share and collaborate).
I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop tool over a web tool anyway." Again, I don't doubt Microsoft's claim but that does seem weird to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop tool preference is a bit more personal than fact-based, but to each his own.
Then there's Google Analytics, a pure cloud player. The tool is designed to analyze website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.
While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I found them, simply to let buyers know they exist. IBM Watson Analytics is one tool with the ability to extend to highly advanced features and was also one of the easiest to use upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, knowledge of data science. Instead, it works well by using natural language and keywords to form queries, a characteristic that can make it valuable to practically anyone. It's highly intuitive, very powerful, and easy to learn. Microsoft Power BI is a strong second as it, too, is powerful while also familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they all have their own pros and cons. We'll be adding even more in the coming months.
One thing to watch out for during your evaluations of these products is that many don't yet handle streaming data. For many users, that won't be a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer behavior patterns, streaming data can be invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and make streaming data and streaming analytics a must-have feature. Many of these tools will have to up their game accordingly so, unless you want to jump ship in a year or two, it's best to think ahead when considering BI and the IoT.BI and Big Data
Another area in which self-service BI is taking off is in analyzing Big Data. This is a newer development in the database space but it's driving tremendous growth and innovation. The name is an apt descriptor because Big Data generally refers to huge data sets that are simply too big to be managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and social media tools (to name a few) that have become so popular over the last several years.
Not only do these tools generate loads of new data, they also often generate a new kind of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this kind of data is heavy on text (even free-form text) while also containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this kind of data include the customer behavior-tracking tools you use to see what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath social media tracking tools.
Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this new information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. New data storage innovations such as data lakes are emerging to solve for this need, but organizations still relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.
Enter Big Data analysis standards. The golden standard here is Hadoop, which is an open-source software framework that Apache specifically designed to query large data sets stored in a distributed fashion (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query Big Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query all of your business data for maximum insight, then Hadoop is what you need.
You can download and implement Hadoop itself to perform your queries, but it's typically easier and more effective to use commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, all support this. However, each requires varying levels of configuration or even add-on tools to do so—with IBM, Microsoft, and Tableau offering exceptionally deep capabilities. However, both IBM and Microsoft will still expect customers to utilize additional tools around aspects such as data governance to ensure optimal performance.Finding the Right BI Tool
Given the issues spreadsheets can have when used as ad hoc BI tools and how firmly ingrained they are in their psyches, finding the right BI tool isn't a simple process. Unlike spreadsheets, BI tools have major differences when it comes to how they consume data inputs and outputs and manipulate their tables. Some tools are better at exploration than analysis, and some require a fairly steep learning curve to really make use of their features. Finally, to make matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to claim the self-serve BI label even if it doesn't quite fit.
Getting the overall workflow down with these tools will take some study and discussion with the people you'll be designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you have this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and stay there.
In recent years, companies have been taking advantage of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is important to make sure that your employees actually know how to use these BI platforms so that you can make sure your investment was worthwhile. There are many ways of approaching this, but using the right online learning platform might be a good place to start looking.
Given the wide price range of these products, you should segment your analytics needs before you make any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and make it easy to get started. Plus, they tend to have large ecosystems of add-ons and partners that can be a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop still has the largest collection of charts and visualizations and the biggest partner network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.
IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in their roundup. However, all three products received their Editors' Choice award. Tableau Desktop may have a big price tag depending on which version you choose but, as previously mentioned, it has an exceptionally large and growing collection of visualizations plus a manageable learning curve if you're willing to devote some effort to it. Microsoft Power BI and Tableau Desktop also have large and growing collections of data connectors, and both Microsoft and Tableau have their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' development teams so it's a good idea to spend some time looking through those community forums to get an idea where these companies are headed.
Pros: Extremely user-friendly. Fantastic automatic report generation. Impressive support availability.
Cons: Automated reports can quickly become defaults. Steep learning curve that might confuse beginners.
Bottom Line: Zoho Reports is a solid option for general business users who might not be knowledgeable in analytics software. It's also available at an attractive price.Read Review
Pros: Accessible user interface. Smart guidance features. Impressively fast analytics. Robust natural language querying.
Cons: Unable to do real-time streaming analytics.
Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes their Editors' Choice honor.Read Review
Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.
Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.
Bottom Line: Microsoft Power BI earns their Editors' Choice honor for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.Read Review
Pros: Enormous collection of data connectors and visualizations. User-friendly design. Impressive processing engine. Mature product with a large community of users.
Cons: Full mastery of the platform will require substantial training.
Bottom Line: Tableau Desktop is one of the most mature offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.Read Review
Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.
Cons: Might be too difficult for self-service business intelligence (BI). Analytics process still needs to be ironed out. Natural language capability can be limited.
Bottom Line: Sisense is a complete platform that should be popular for experienced BI users. It may fall short for beginners, however.Read Review
Pros: Wide range of connectors. Impressive sharing features. Limitless data storage.
Cons: User interface is not intuitive. Steep learning curve. Unwelcoming to new analysts.
Bottom Line: Domo isn't for newcomers but for companies that already have business intelligence (BI) experience in their organization. Domo's a powerful BI tool with a lot of data connectors and solid data visualization capabilities.Read Review
Pros: Exceptional platform for website and mobile app analytics.
Cons: Customer support has way too much automation. Focus on marketing and advertising can be frustrating to users. Relies mostly on third parties for training.
Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest name in website and mobile app intelligence. It has a steep learning curve but it is an awesome business intelligence tool.Read Review
Pros: Designed with general business users in mind. Solid return on investment.
Cons: The data you can use is limited. Needs additional platform to connect.
Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners make it an attractive offering.Read Review
Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with plentiful extenders. Responsive pages make mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.
Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.
Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But be warned that there's a steep learning curve and a noted dependence on other SAP products for full functionality.Read Review
Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. Complex queries are handled very well.
Cons: Poorly designed user interface. Steep learning curve.
Bottom Line: Chartio excels at building a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those new to BI, however, will find it very difficult to use.Read Review
Pros: Very deep SQL modeling ability. Uses Git for version management and collaboration.
Cons: Very expensive. Not for small teams.
Bottom Line: Looker is a great self-service business intelligence (BI) tool that can help unify SQL and Big Data management across your enterprise.Read Review
Pros: Custom access roles. Solid collection of public data online.
Cons: Complex pricing is a deterrent.
Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) tool that delivers the best collection of user access roles among the BI tools they tested, and also demonstrates a promising start towards integrating Data-as-a-Service (DaaS).Read Review
Pros: One of the largest collections of data connectors. Many granular access roles.
Cons: No free trial available. Training webinars can be costly.
Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) tool WebFocus nevertheless has some powerful analysis features.Read Review
Pros: Very easy to get started. Nice team management and collaboration features.
Cons: The cloud version has a subset of features found in Windows version. Online documentation could be improved.
Bottom Line: While Tibco is still making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) tool Tibco Spotfire is a great way to start visualizing your Excel data.Read Review
Pros: Excellent analytical support for Intuit QuickBooks. Very easy setup.
Cons: Installation and setup is a bit of chore. No support for Intuit QuickBooks' online versions.
Bottom Line: Clearify QQube is the best self-service business intelligence (BI) tool for in-depth analysis of your Intuit QuickBooks files, though you'll need to look elsewhere for broader BI tasks.Read Review
- I worked as a linux sysadmin at a startup before going to school for CS. After 3 years, I graduated with a decent GPA (>3.6) and a couple internships at a large tech company.
- In college, I always felt like I had to work a harder than most of my classmates in order to get the same result. I would regularly spend 60 - 80 hours per week on schoolwork.
- Upon graduation, I accepted a job with the company I interned with and have worked there for ~1.3 years. However, I've been prepping to jump to a different role for a few months now.
- Recently (past 1.5 months), I've spent 1 - 3 hours per day on tech interview prep using CLRS, Cracking the Coding Interview, etc. My current target is a role at one of the "big four" tech companies or a high-quality startup doing either webdev or infrastructure engineering.
- So far, I have interviewed for and been rejected by no less than 10 different roles. I was also rejected by approximately 20 companies during college. I always fail during tech portions.
- I am REALLY bad at algorithm problems and experience serious performance anxiety. Concentrated studying and mass interviewing haven't led to positive results so far. I can solve most problems correctly given enough time (usually 2x+ longer than interviews).
1.) Does there ever come a point where it just isn't worth it to continue trying to be a software engineer who can get into top-tier companies / projects?
2.) How can I find some positive reinforcement in interviewing / interview prep even if I constantly get rejected? I do perform post mortems on every interview in order to find areas to improve.
3.) If my goal isn't an impossibility, how can I efficiently progress towards it? Would a mentor be helpful?
In recent years, the adoption of Linux in the data center has progressed beyond infrastructure services such as e-mail and file, print, and Web serving. Today, Linux is widely used as a business application server and is moving deeper into the data center as a database and content server. Given a vibrant development community and innovative solution providers, Linux continues its advance toward becoming the enterprise-computing platform of choice.
The benefits of Linux to data center customers are well known: superior economics, no vendor lock-in, reliability, and increasing independent software vendor (ISV) and system vendor acceptance and support.
However, with success comes higher expectations. User requirements for Linux in the data center continue to escalate. IT professionals are always looking for more performance, manageability, and other features that they've come to expect from an enterprise operating system. However, the user requirements list is as varied as it is long. Lacking a "center of gravity" where developers, users, and vendors can all look at Linux capabilities and requirements together, the necessary advances will come more slowly.
Enter OSDL Data Center Linux Working Group (DCL). The DCL is a virtual center-of-gravity where interested parties can come together to accelerate the development and adoption of Linux in the enterprise. Made up of a number of OSDL member companies and other interested individuals, the DCL focuses on services, databases, applications, and mid-tier and high-end multiprocessor servers used for a variety of mission-critical applications.Accelerating Linux Adoption Overall, the OSDL DCL focuses on all the things you'd expect from an organization trying to accelerate the deployment of any enterprise software, namely:
Periodically, the DCL working group also publishes capabilities requirements documents for public review. The 1.0 version of the OSDL DCL Capabilities Document can be found on OSDL's Web site under DCL Documents. The intent of this and future DCL documents is to stimulate discussion and review, then drive toward future, specific technical requirements from the list of capabilities. Thus, the capabilities document is neither a list of requirements nor a specification, but is an analysis of the enterprise usage needs of Linux, thus providing a starting place for driving efforts that facilitate building solutions to satisfy those needs.
The DCL identifies two levels of technical priorities for Linux in the data center: Priority One Capabilities are considered the most important for data center readiness for Linux, while Priority Two Capabilities are those intended to stimulate thought and discussion.
Beyond general priorities of importance, the DCL working group examines Linux enterprise capabilities in the traditional functional areas:
At this stage, the OSDL DCL investigation is focused on enterprise-level usage models. The technical discussions center around data center issues such as security, storage networking, and file system performance. Because the objective of the DCL is to accelerate the maturation of Linux as an enterprise operating system, investigation of the other features on this list concentrates on server functionality and data center administration needs. Clearly, most of the features on this list are equally important to all who develop, use, or administer the system. But these nonserver-related issues are addressed in other OSDL initiatives such as the Desktop Linux working group.
In the latter half of 2004 the DCL Working Group will move on to its second objective: documenting the requirements necessary to advance Linux further in the data center, and recommending technical approaches to meet those requirements.Call for Participation The mission of the Data Center Linux (DCL) Working Group is to provide a forum for industry leaders to accelerate adoption and deployment of Linux in data centers.
The working group has completed its first pass at identifying Linux capabilities in the data center, and has developed a prioritized list of capabilities needed. The Data Center Linux Technical Capabilities v1.0 document is available for public review on the OSDL Web site. They encourage any interested person to review it and provide input. Together they can all help Linux become the enterprise operating system of choice.
For more information on how you can participate in the DCL, please visit www.osdl.org/lab_activities/data_center_linux.
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By Liz McMillanThe term "digital transformation" (DX) is being used by everyone for just about any company initiative that involves technology, the web, ecommerce, software, or even customer experience. While the term has certainly turned into a buzzword with a lot of hype, the transition to a more connected, digital world is real and comes with real challenges. In his opening keynote, Four Essentials To Become DX Hero Status Now, Jonathan Hoppe, Co-Founder and CTO of Total Uptime Technologies, shared that ...
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Mon, 23 February 2015
Want to learn how to make an iPhone app? Or maybe you want to learn computer programming? Either way I highly recommend checking out this episode which is just packed with great information. We go over the basics on how to make and release an iPhone app and how to teach your self programming or really anything.
Direct download: Ep_21_Makings_Apps_Coding_and_Saving_the_World.mp3
Category:general -- posted at: 3:00am PST
Mon, 16 February 2015
Are you in a walking trance? Break out of it with this episode, and learn some of the secrets on how to succeed outside the corporate world. James Schramko joins me and he shares some of his best secrets on how to succeed and accomplish your goals, including the important aspects of investing in yourself.
Direct download: Ep_20_Break_The_Trance_Invest_in_Yourself_and_Achieve_Your_Goals.mp3
Category:general -- posted at: 3:00am PST
Mon, 9 February 2015
A guide to drinking whiskey, and be classy while doing it. In this episode we learn how to properly drink whiskey, what whiskey is and how it is made. We also mixed in a little bit of history about whiskey as well. So if you like George Washington and being classy this episode is for you.
Direct download: EP_19_Whiskey_-_A_Brief_History_Of_Classiness.mp3
Category:general -- posted at: 6:00am PST
Mon, 2 February 2015
Unintentionally Celibate Star, Olive joins me and we talk all about sex, her hilarious stories and she shares some words of wisdom. Olive is an amazing person, and this episodes is one of my favorite episodes yet.
Direct download: Ep_18_Sex_Hilarity_Inspiration_and_Most_Importantly_Unintentional_Celibacy.mp3
Category:general -- posted at: 3:00am PST


text:
Product Details
This machine is mainly used for cutting peanut chikki,cereal bar, rice candy ,sesame candy, snack bar, pop rice cake, crispy snack, crispy caramel treats and other square shapes snack products. It has a simple operation, good easy to use, big production capacity etc.
1.Mechanical pressing & rubbing, does not hurt nuts, without waste.
2.All the parts touching with food are made of non-toxic material, oil and high temperature resistance.
3.The machine includes material feeding equipment, flatting equipment, cooler, crosscutting and rip cutting equipment, conveyor and control of electric devices.
4.Adopt micro computer to adjust the product size automatically.
5.The machine will finish the procure of feeding material - flatting - cooling - cutting automatically and continuously.
6.The product shape is square after cutting.
7.Cooling conveyor can be customerized as demand.
1. Engineers available to service machinery overseas.
2. Local training how to use the cereal bar molding machine.
3. In order to improve our products, we keep in close contact with customers to know their feedback and suggestions of the cereal bar molding machine..
4. From the date of the buyers receive the machines, 1 year warranty service, and take the lead in proposing the concept of lifelong maintenance in the industry (after the warranty period, the cost of accessories and the cost of labor are charged according to its real cost).
Previous: Bar Forming Machine
Related Products


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text: A 2017 App Showdown Finalist and software developer based in New Zealand, Ashley Schroder took it upon himself to make accounting effortless for AirBnB, Booking.com and HomeAway by automating financial feeds like bookings, refunds, taxes, fees and charges from the online travel accounts directly into QuickBooks Online. There are millions of private listings on these platforms and they all face increasing compliance, tax and regulations. This is making it important to have accurate accounting records for these businesses.


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23/40 Reynolds Way, Withers
Stylish modern unit located within large complex situated minutes from the South West Sports Centre, Schools and the Minninup Forum.
Features include:
- Two bedrooms
- One modern bathroom/laundry
- Built in robe to main bedroom
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- Open plan lounge and dining
- Split system air conditioning to main living
Complex gardens are all maintained by the strata company. Security gate access to car park with one parking bay.
Available now $210 per week. Sorry but no pets are allowed
TO INSPECT THIS PROPERTY click on the button 'Book an inspection time' enter your details and choose an appointment time. In the case of NO registered tenants - then this viewing may not go ahead. Please CALL US to make a more suitable time to view this property.
APPLICATION FORMS can be downloaded from our website at www.justpropertymanagement.com.au, collected from office or available at viewing. To fast track please provide your 100 points of ID, routine inspection reports, payment history or tenant ledger. Applications can be submitted prior to viewing.
Property Information
- Street Address 23/40 Reynolds Way
- Type Residential Lease
- Price LEASED
- State WA
- Town Village Bunbury & surrounds
- Suburb Withers
- Property Type Unit
- Bedrooms 2
- Bathrooms 1
- Carspaces 1
- Available At 6th August 2018
- Bond $840


text:
Actual news in your location
© 2019 ipub.us
Contact us
This video was taken in Kiev by myself. It shows the "museum" of WWII. It is shamefully pro Soviet Army. At the end you see the statue of the "motherland" with the communist sickle carved into the shield.
I was surprised that this huge museum was very well kept compared to most parts of the city which are in a very bad shape. I wonder where the money comes from to maintain the museum.
They really need to take down the shield as it is very offensive towards people who suffered so much at the hands of bloodthirsty communists for nearly eight decades.


text:
Most employees are honest about getting injured at work. For these people, they just need time to recover and heal before returning to the workplace.
Admissibility of expert testimony in med mal cases an important issue
In medical malpractice cases, building a strong defense requires not only having the law on one's side, but also presenting enough evidence to back up one's legal argument. While medical malpractice plaintiffs have the burden of presenting relevant and reliable evidence to support each element of a medical malpractice claim, defendants' focus is to present sufficient evidence to show that the plaintiff doesn't meet the legal requirements for establishing the defendant's liability.
Federal committee aims to uniform guidelines for newborn testing
A federal committee has been studying inconsistencies in newborn screenings across the country. As advisers to the U.S. Secretary of Health and Human Services, this committee aims to give public health labs better guidelines for testing newborns for genetic disorders.
Workplace injuries cost U.S. employers $59 billion per year
As any employer can probably tell you, workplace accidents can affect worker productivity and the bottom line. According to Liberty Mutual, work-related injuries and illnesses cost U.S. employers a total of $59.87 billion in 2014, which is the latest statistically-valid data available from the U.S. Bureau of Labor Statistics (BLS) and the National Academy of Social Insurance.
Stronger malpractice laws are not linked to reduced complications
Those who support aggressive medical malpractice laws that make it easier for patients to sue claim it will result in improved care. A recent study, however, suggest that the risk of litigation may not improve patient outcomes.


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Fatal error: Class 'XML' not found in /home/sfw/includes/BingSearchResponse.class.php on line 15


text:
Saturday, September 29, 2007
Beautiful - Tarzan Reviews
one of my favourite disney movies of all time. the visuals and effects are amazing, i feel like i'm really with tarzan when he tree surfs. awesome movie
Posted by vivian farrell at 6:27 AM
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Subscribe to: Post Comments (Atom)


text:
Issued on: Tuesday 1:00am, February 27, 2007.
Due by: Thursday midnight, March 15, 2007.
This assignment is designed to:
- gain familiarity with programming structured C programs from scratch
- gain experience writing functions and passing parameters
- gain experience with arrays, pointers and strings
- prepare for the midterm!
For this assignment, a paper submission and an electronic submissions are required. The electronic submission consists of source programs (one for each of the following questions: 2, 3, 4 and 5). The paper submission consists of the answer to Question 1.
These source programs can be sent by email to the instructor.
As usual, you need also an assignment ticket and an submission form, to be included in an envelope together with the paper submission.
The locker of CS211b is 99 at the groundfloor of Middlesex College.
You should use the gcc compiler to compile your programs. In particular, you must compile your programs with the -Wall switch to turn on all warnings:gcc -Wall -o output cfile.c
If your compilation has warnings with the -Wall switch, fix them! Marks will be deducted for programs that generate warnings when compiled with -Wall. These warnings generally mean that you aren't following the rules... fixing the warnings will give you a better C program.
Your programs should contain sufficient comments that another person, familiar with the C programming language, can follow your algorithms and code. Your comments should include:
- Specification of each function, above its profile declaration
- Comments at the top of the file, which should list:
- Your name
- Your student number
- CS211b, and the assignment number
- The name of the C file
- A short explanation of the purpose of the program, in your own words
- Block and/or line-by-line comments within the code, which should provide sufficient explanation that another programmer can follow your code.
Answering a question asked in class.
In C programing, the word NULL designates the null pointer.
- (A) Using commands such as grep determine where and how this value is defined on obelix
Random Latin squares.
A Latin square of order n is an n by n array such that:
- each cell of the array contains a positive integer less or equal to n,
- in such a way that each value occurs once in each row and once in each column.
Here is an example.
1 2 3 2 3 1 3 1 2
The goal of this question is to realize a C program performing the following:
- (a) generate a random 5 by 5 array with integer entries in the range 1,...,5
- (b) if this array is a Latin square then go to step (c) otherwise return to (a)
- (c) display this Latin square and terminate.
Your program should contain at least three functions:
a function generating a random n by n array with integer entries in the range 1,...,n where n is a parameter of this function,
- a function checking whether a n by n array (with integer entries in the range 1,...,n) is a Latin square,
- a function displaying a n by n array with integer entries.
A matrix editor.
The goal of this question is to realize a C program that would allow the user to perform the following actions on entering one of the characters e, d, r, q respectively:
- enter a matrix with integer coefficients,
- display the entered matrix, if any,
- replace a value in the the entered matrix,
- quit the program.
After entering e, the user is asked
- to enter two integer numbers n and m, the respective numbers of rows and columns of the matrix,
- to enter the coefficients of the matrix line by line.
After entering r, the user is asked to enter three integer numbers i,j,v such that v becomes the new value at the intersection of Row i and Column j.
Some remarks:
- On invalid input, an error is reported and the user is asked to re-enter the requested input.
- The size of the matrix is known only at run-time, that is, when the user enters n and m, hence you will need to use pointers, similarly to what we did with the last example (slide 20) of the chapter on pointers.
Your program should contain at least three functions:
- a function for entering a matrix with integer coefficients,
- a function for displaying a matrix with integer coefficients,
- a function for replacing a value in a matrix with integer coefficients,
An efficient trick for sorting numbers.
The goal of this question is to modify the program for sorting on Slide 12 of the chapters on arrays. Three modifications are to be implemented:
- the user provides two positive integers s and r,
- the array tab must have size s and the entries must be random integers in the range -r...r,
- the algorithm for sorting is replaced by the algorithm below, called linear sort.
The principle of this algorithm as follows:
- First, the algorithm determines the smallest entry and the largest entry in the array to sort, let us call these values a and b respectively.
- Second, the algorithm allocates an auxiliary array of size b-a+1 and assigns each slot to zero.
- Third, the algorithm goes through all slots of the input array: if a slot with index i of the input array contains value v then the value of slot v-a in the auxiliary array is incremented by one.
- Fourth, the algorithm goes through all slots of the auxiliary array: if the j-th non-zero slot of the auxiliary array has index k and value v, then the slots of index from j to j+v-1 of the input array are all set to a+k.
- Fifth, the algorithm de-allocates the auxiliary array.
Implementing our tr command.
The goal of this question is to realize a C program implementing a utility similar to the tr command. This new command works as follows:
By word, we mean a word in the usual sense. So we can assume that each of the strings str1, str2, str3 consists of words (taken from some dictionary) and separated by white space.
- First, the user enters a character string str1.
- Second, the user enters a character string str2.
- Third, the user enters a character string str3.
- Fourth, the program replaces every occurrence in str3 of the i-th word of str1 by the i-th word of str2.
- Fifth, the program displays the translated version of str3.


text:
Management team
Bosmat Nossan
In April 2008, Bosmat joined Batsheva Dance Company. She has taught Gaga/people for six years.
Reut Gonen
Administrator of Gaga classes at Suzzane Dellale and as a registration coordinator of Gaga Intensive courses in Tel Aviv
Aya Israeli
Head of Academic Activities and Co-Artistic Director, Gaga Teacher Training Program


text:
How to configure DS/FIM to point to IPS clustered server after installation?
We need some assistance in terms of configuration of our clustered environment for DS/FIM and IPS servers in Windows environment.
We have following network configuration for IPS and DS/FIM clustered servers respectively:
IPS-Cluster Server Name: ips-cluster.xyz.net
Individual IPS Servers (Nodes) within cluster: ipsvirtualserver1, ipsvirtualpserver2
DS/FIM Cluster Server Name: dsfim-cluster.xyz.net
Individual DS/FIM Servers (Nodes) within cluster: dsfimserver1, dsfimserver2, dsfimserver3, dsfimserver4
When installing DS 4.2/FIM 10.0 software on above DS/FIM individual servers, we used the IPS server name ipsvirtualserver1 and not the IPS cluster name when providing CMS server information during installation steps. We would like to change the configuration in DS and FIM to point to the IPS Cluster name (ips-cluster.xyz.net) and not the individual server (ipsvirtualserver1).
Hence, there are two questions we need answers for:
1. 1. Where to make the change required so that the individual servers in DS/FIM cluster are pointing correctly to IPS cluster server ips-cluster.xyz.net
2. 2. What is the naming convention when connecting to IPS Clustered server for authentication (e.g. from DS Designer). Can we directly use the cluster name ips-cluster.xyz.net or use combination of two servers together (ipsvirtualserver1, ipsvirtualserver2).
Thank you in advance for providing assistance in this matter.


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