- Paperback: 368 pages
- Publisher: MC Press; New edition edition (January 1, 2013)
- Language: English
- ISBN-10: 1583473777
- ISBN-13: 978-1583473771
- Product Dimensions: 7 x 0.7 x 9 inches
- Shipping Weight: 1.2 pounds (View shipping rates and policies)
- Average Customer Review: 7 customer reviews
- Amazon Best Sellers Rank: #1,466,313 in Books (See Top 100 in Books)
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Big Data Governance: An Emerging Imperative Paperback – January 1, 2013
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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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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. Otherwise the economic and tactical risk is redoubled due to probable overinvestment combined with a lack of proper business strategy execution.
If your data governance program is designed the right way, you should be able to extend your data governance processes to incorporate both enterprise-managed and the greater world of big data. One of the take aways from Sunil's book is the realization that the size of the data doesn't matter as much as how you use it -- and therein we IT professionals must learn to embrace the new crop of technology solutions such as big data and the governance it mandates.
Sunil's latest book is the plenary source that can successfully tutor and guide you into "big data governance".
Chief Research Officer, The MDM Institute &
Conference Chairman, The MDM & Data Governance Summit (London, New York City, San Francisco, Shanghai, Singapore, Sydney, Tokyo, Toronto)