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Big Data Governance: An Emerging Imperative Paperback – January 1, 2013

4.6 out of 5 stars 7 customer reviews

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Editorial Reviews

About the Author

Sunil Soares is the founder of Information Asset LLC, a consulting firm focused on helping clients build information governance programs, and a former director of information governance at IBM. He is the author of The IBM Data Governance Unified Process and Selling Information Governance to the Business. He lives in Harrington Park, New Jersey.
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Product Details

  • Paperback: 368 pages
  • Publisher: Mc Press; 1st New edition edition (January 1, 2013)
  • Language: English
  • ISBN-10: 1583473777
  • ISBN-13: 978-1583473771
  • Product Dimensions: 7 x 0.8 x 8.9 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #175,040 in Books (See Top 100 in Books)

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Top Customer Reviews

Format: Kindle Edition Verified Purchase
This book offered nothing new for me... My domain, so I felt compelled to read it. Struggled through repetition to read cover-to-cover. Felt empty at the end. Unfortunately, with all the heavy hitters brought to bear, this book did not elevate my knowledge.
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Format: Paperback
"Go governance, go early" remains the rallying cry of savvy enterprise and solution architects who are chartered with the setting the scope and direction of their enterprise's data integration programs -- even more so now with the cresting requirement for "big data" integration. Understanding the scope, diversity and integration challenges associated with the governance of big data is tremendously challenging.

Sunil Soares' latest book represents a Rosetta Stone for IT professionals to map their portfolio of traditional IT experiences (master data management, data governance, et al) to the newest data technology trends of "big data" and "big data analytics". Specifically, among other benefits, it provides a much appreciated reference architecture for big data as well as case studies illustrating the business outcomes from big data analytics.

Clearly, in our practice experience, big data requires both master data management (MDM) and data governance to be effective and sustainable. Through 2013-14, big data will repatriate itself into the MDM fabric as yet another source. Specifically, big data applications need to be MDM-aware and MDM must also be able to store preferences for each big data source. Moreover, big data analytics need to understand the master view of customers and products to be effective. Lastly, mining of big data to populate social MDM and to perform entity matching on big data stores will help provision a 360° view of such entities from public, subscription and enterprise big data feeds.

Big data needs to be governed according to its intended business strategies which in turn are reflected in the active data governance policies of an organization.
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I absolutely loved this book. The book is really structured around the principles that one needs to govern big data. Once author establishes the framework he gets into the best practices of each discipline in the framework. It does not talk about how to implement big data governance but I guess that should come if you have already data governance running. If you are in the data governance then this is a must read.
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Format: Paperback
In the world of Big Data, data governance principles and policies are usually sacrificed in early pilots in the name of performance and time to value. As Hadoop and other Big Data technologies are put into production use and opened up to a broader audience, these systems have to be brought into compliance with standard governance policies. However, putting governance aside till then is a mistake. As with most things, forethought and prevention can save a lot of effort down the road. Regardless of whether you are just starting out with Big Data or already have a mess on your hands, this book will help you understand the specifics of governing Big Data, available tooling and best practices. and how to go about putting together data governances policies and processes. Very readable, clear and comprehensive.
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