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Big Data Governance: An Emerging Imperative, by Sunil Soares
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Written by a leading expert in the field, this guide focuses on the convergence of two major trends in information management—big data and information governance—by taking a strategic approach oriented around business cases and industry imperatives. With the advent of new technologies, enterprises are expanding and handling very large volumes of data; this book, nontechnical in nature and geared toward business audiences, encourages the practice of establishing appropriate governance over big data initiatives and addresses how to manage and govern big data, highlighting the relevant processes, procedures, and policies. It teaches readers to understand how big data fits within an overall information governance program; quantify the business value of big data; apply information governance concepts such as stewardship, metadata, and organization structures to big data; appreciate the wide-ranging business benefits for various industries and job functions; sell the value of big data governance to businesses; and establish step-by-step processes to implement big data governance.
- Sales Rank: #1205128 in Books
- Brand: Brand: Mc Press
- Published on: 2013-01-01
- Original language: English
- Number of items: 1
- Dimensions: 8.90" h x .80" w x 7.00" l, 1.25 pounds
- Binding: Paperback
- 368 pages
- Understand how big data can fit within an information governance program
- Identify key stakeholders for big data
- Quantify the business value of big data
- Apply information governance concepts such as stewardship-data quality-metadata-and organization structures to big data
- Appreciate the business benefits of big data by industry and job function
- Understand the emerging regulations relating to privacy and data retention
- Establish a step-by-step process to implement big data governance
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.
Most helpful customer reviews
4 of 5 people found the following review helpful.
"Go governance, go early"
By Aaron Zornes
"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. 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".
Aaron Zornes
Chief Research Officer, The MDM Institute &
Conference Chairman, The MDM & Data Governance Summit (London, New York City, San Francisco, Shanghai, Singapore, Sydney, Tokyo, Toronto)
0 of 0 people found the following review helpful.
Must have for Data Governance Folks !!
By RKM
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.
0 of 0 people found the following review helpful.
available tooling and best practices. and how to go about putting together ...
By Alex Gorelik
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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