Data Digest: Focus on Big Data
Balancing evidence and judgment in big data, preventing discrimination in your big data work, and the 4th big data "V": value.
- By Quint Turner
- April 15, 2016
As big data becomes more important, some enterprises may be tempted to leave all
analysis to the machines. At the same time, other enterprises ignore the trends
and have one or two humans handle all analysis. This article argues why the best
tactic with big data may be down the middle: a mix of machine and human intuition.
Read more at icrunchdatanews.com
As big data becomes ever more popular, it is critical for enterprises to ensure
compliance with nondiscrimination laws. This article reviews how these laws
affect marketing with big data and how you can prevent discrimination in
Read more at www.madmarketer.com
Many people who use big data know about the 3 Vs: volume, velocity, and variety.
This article explores the importance of a fourth V, value, and cites several
enterprises finding big value in big data.
Read more at IT Pro Portal
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.
The text passage is a summary of an article that discusses the balance between machine and human analysis in big data, compliance with nondiscrimination laws, and the concept of the fourth "V" (value) in big data.
no_question
Given a text passage, determine:
    1. If it contains a mathematical question (including word problems or calculations)
    2. If an answer to that mathematical question is provided in the text

First, describe the content structure you found in 1-2 sentences.

Then provide your analysis in the following format:
TYPE: <one of the following values>
- NO_QUESTION
- SINGLE_QUESTION
- SINGLE_QUESTION_WITH_ANSWER
- MULTIPLE_QUESTIONS
- MULTIPLE_QUESTIONS_WITH_ANSWERS
system
Data Digest: Focus on Big Data
Balancing evidence and judgment in big data, preventing discrimination in your big data work, and the 4th big data "V": value.
- By Quint Turner
- April 15, 2016
As big data becomes more important, some enterprises may be tempted to leave all
analysis to the machines. At the same time, other enterprises ignore the trends
and have one or two humans handle all analysis. This article argues why the best
tactic with big data may be down the middle: a mix of machine and human intuition.
Read more at icrunchdatanews.com
As big data becomes ever more popular, it is critical for enterprises to ensure
compliance with nondiscrimination laws. This article reviews how these laws
affect marketing with big data and how you can prevent discrimination in
Read more at www.madmarketer.com
Many people who use big data know about the 3 Vs: volume, velocity, and variety.
This article explores the importance of a fourth V, value, and cites several
enterprises finding big value in big data.
Read more at IT Pro Portal
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.
user
The text passage is a summary of an article that discusses the balance between machine and human analysis in big data, compliance with nondiscrimination laws, and the concept of the fourth "V" (value) in big data.

TYPE: NO_QUESTION