New Street Publishes First Book to Focus on Dark Data and Dark Social

Bestselling author and consultant Lars Nielsen explores and explains the most obtuse and unstructured information in the realm of Big Data, and how data scientists can manage and mine it to gain actionable business intelligence (BI).
 
 
Published December 2014
Published December 2014
 
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Tags:
* Big Data
* Hadoop
* Business Intelligence
* Dark Data
* Data Science

Industrys:
* Business
* Computers

Location:
* Newport - Rhode Island - US

Subject:
* Products

NEWPORT, R.I. - Dec. 17, 2014 - PRLog -- In the distant outskirts of that random frontier called Big Data lurks the ultimate in obscure, unstructured information - Dark Data and Data Social.

Here - in Dark Data and Dark Social: The Promising Problem Children of Big Data and Data Science - noted author, programmer and author Lars Nielsen provides fundamental and essential knowledge as to how data scientists can and should "wrangle" these most untamed of information resources and gather from them useful BI. Nielsen approaches his subject in a straight-forward, jargon-free style which assumes little prior knowledge of Big Data or Data Science fundamentals, thus making this book the ideal introduction for would-be data scientists as well as managers and marketers partnering with data science teams.

“Gathering dust” in archives, Dark Data, is – as put by CIO and industry pundit Isaac Sacolick – “data and content that exists and is stored, but is not leveraged and analyzed for intelligence or used in forward looking decisions. It includes data that is in physical locations or formats that make analysis complex or too costly, or data that has significant data quality issues. It also includes data that is currently stored and can be connected to other data sources for analysis, but the business has not dedicated sufficient resources to analyze and leverage." Add to this unstructured data of a nature for which sufficiently robust or accurate analysis tools have not yet been invented, and some data (notably most log files) which will simply never be of use and will never yield worthwhile BI.

Dark Social, in turn, represents the very darkest and hardest to wrangle of all Dark Data. Here we are talking about hard-to-track but incredibly valuable real-time data pegged to largely-anonymous second party referrals to web sites (as opposed to direct click-throughs). In the deep mine of Dark Social lies the most valuable of all informational gold - but gold which will only be achieved by the most innovative, inspired and diligent of prospectors.

In Dark Data & Dark Social, Nielsen fully explores the natures of Dark Data and Dark Social, how to go about discerning potentially useful Dark Data and Dark Social amid the large balance of useless data debris with which most enterprises are swamped, how to build a data science team to leverage this data to its fullest potential, how to secure this data through universal encryption, and how to safely and irrevocably dispose of unusable data debris, thus minimizing storage and security costs.

CONTENTS: What is Dark Data? * The Ebb and Flood of Data Value * Building a Team to Enlighten Dark Data * The Varying Natures of Dark Data * The Need for Universal Ubiquitous Encryption * Dark Data Retention Policies * The Safe Disposal of Data Debris via Crypto-Shredding and Other Approaches * Summing Up: Recognizing the Value Within Non-Transactional Dark Data and Exploiting “Dark Social”

Dark Data and Dark Social: The Promising Problem Children of Big Data and Data Science is available in Kindle, paper and audio editions.

For pricing and other details please visit: http://newstreetcommunications.com/businesstechnical/dark...

ABOUT THE AUTHOR: Lars Nielsen is a highly-regarded systems programmer and developer living in Amsterdam. His bestselling books include A Simple Introduction to Data Science, Computing: A Business History, and Unicorns Among Us: Understanding the High Priests of Data Science.

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