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Product details
File Size: 146308 KB
Print Length: 274 pages
Page Numbers Source ISBN: 0128023074
Publisher: Morgan Kaufmann; 1 edition (August 12, 2016)
Publication Date: August 12, 2016
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B01KIR7I86
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Amazon Best Sellers Rank:
#686,413 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
As someone who has been in tech for many years, but relatively new to the Data Governance area, in order to get the knowledge I need to execute on my job, I've probably read around 15 books on various DG topics. Of those, a handful stand out as a book I keep coming back to. It's very well laid out and gives a much more modern view verses many of the other books out there. It accounts for the big data and advanced analytics trends in ways other books don't touch. I highly recommend this book. I had initially hesitated because the author is employed for a major vendor in the space. However, you will find the book full of practical content (and not a sales pitch for a data governance tool). You won't regret having it in your library as the book is quite different than any other out there I've read around data.
This book is written as a guide to proper implementation of data management methods and procedures for modern data usage and exploitation. The first few chapters lay the groundwork and delve into the need for a new approach to data management that embraces analytics. Then, in Chapter 3, the authors guide the reader through steps to assess their current conditions, controls and capabilities with regard to their data. The material here can be quite helpful to assist you in gauging where your organization falls in terms of data maturity. Chapter 4, which chronicles the detailed activities involved in building a data and analytics framework comprises about a quarter of the book and this chapter alone can give you a good ROI on your book purchase.Chapter 8 is also well done. It addresses data governance as an operations process, giving advice and a framework for successful data governance. If you are at all involved in your organization’s data management and analytics practice, do yourself a favor and grab a copy of this book today.
Similar to the other Data Governance books I've read, this one is also very verbose, staying away from concrete use cases, littering pages with hypothetical situations and executive summary type of snapshots from data governance implementations.Nevertheless, this one is at least more up to date, and a bit easier to follow. Pages and pages of action items are presented in a logical (and somewhat overwhelming) order, without providing a detailed example of what an end result would like, but still I consider this book's style slightly more digestible without sacrificing details.The book also briefly mentions big data related issues but in a very superficial manner, so you'll definitely need to rely on other sources.The part on Business Glossary is very detailed and provides a thorough overview of building a business glossary, and even is brave enough to mention the concept of 'ontology'. It is also good the relevant standards are shown, so that the reader can know where to turn to for precise definitions. The fact that authors have dedicated 20 pages to this topic shows how important they consider this aspect of data governance.If you are a practicing Data Officer or head of analytics, this book belongs in your bookshelf, and on your desk, to be referenced regularly, so that you can internalize the concepts and the lessons it shows. Also, when faced with various challenges in the intersection of business and IT, a second or third reading of some of the chapters might as well be useful.
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