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


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Big Data Governance: An Emerging Imperative + Selling Information Governance to the Business: Best Practices by Industry and Job Function + The IBM Data Governance Unified Process: Driving Business Value with IBM Software and Best Practices
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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: 8.9 x 7 x 0.8 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #278,269 in Books (See Top 100 in Books)

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.

More About the Author

Sunil Soares is the founder and managing partner of Information Asset, LLC, www.information-asset.com a consulting firm that specializes in helping organizations build out their data governance programs. Prior to this role, Sunil was the Director of Information Governance at IBM, and worked with clients across six continents and multiple industries.

Sunil's first book The IBM Data Governance Unified Process details the fourteen steps and almost one hundred sub-steps to implement a data governance program. The book has been used by several organizations as the blueprint for their data governance programs, and has also been translated into Chinese.

Sunil's second book Selling Information Governance to the Business: Best Practices by Industry and Job Function reviews the best way to approach data governance by industry and function.

Sunil's third book Big Data Governance reviews the importance of data governance for different types of big data such as social media, machine-to-machine, big transaction data, biometrics, and human generated data.

His fourth book IBM InfoSphere: A Platform for Big Data Governance and Process Data Governance addresses the convergence of big data, data governance and business process management.

Sunil has also worked at the Financial Services Strategy Consulting Practice of Booz Allen & Hamilton in New York. Sunil lives in New Jersey and holds an MBA in Finance and Marketing from the University of Chicago Booth School of Business.

He can be reached on Twitter @sunilsoares1.

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3 of 4 people found the following review helpful By Aaron Zornes on November 7, 2012
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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0 of 15 people found the following review helpful By Michael J. Coleman on May 26, 2013
Format: Paperback Verified Purchase
Remember when I got this back when I was 19...great album that holds up after all these decades. Great to rediscover.
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