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Comprehensively covers evaluation criteria for and capabilities of the software tools available for implementing a data governance program
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Data governance programs often start off using programs such as Microsoft Excel and Microsoft SharePoint to document and share data governance artifacts. But these tools often lack critical functionality. Meanwhile, vendors have matured their data governance offerings to the extent that today's organizations need to consider tools as a critical component of their data governance programs. In this book, data governance expert Sunil Soares reviews the Enterprise Data Management (EDM) reference architecture and discusses key data governance tasks that can be automated by tools for business glossaries, metadata management, data profiling, data quality management, master data management, reference data management, and information policy management. Subsequent sections describe the integration points between EDM tools and data governance and examine how governance tools interact with big data technologies, including Hadoop, NoSQL, stream computing, and text analytics. The final section of the book discusses evaluation criteria for data governance tools and provides an overview of key vendor platforms, including ASG, Collibra, Global IDs, IBM, Informatica, Orchestra Networks, SAP, and Talend.
- Sales Rank: #1172611 in eBooks
- Published on: 2015-01-01
- Released on: 2014-11-01
- Format: Kindle eBook
About the Author
Sunil Soares is the founder and managing partner of Information Asset, a consulting firm that specializes in data governance, and is a former director of information governance�at IBM, where he worked with clients across six continents and multiple industries. He is�the author of Big Data Governance, The IBM Data Governance Unified Process, IBM InfoSphere: A Platform for Big Data Governance and Process Data Governance, and Selling Information Governance to the Business. He lives in Harrington Park, New Jersey.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Helpful, methodical
By Dimitri Shvorob
The book's title is accurate: "Data Governance Tools" focuses on data-governance-enabling technology, and walks through a structured list of data-governance-related tasks and processes, showing (with one or a few commented screen shots per case) how task X is implemented in software product A.
IBM's InfoSphere product family gets the most coverage, followed by Informatica tools, and Collibra and Talend share the bronze medal. At the other extreme, Microsoft is a no-show, and SAS gets less than a page. As advertised, the book covers the "big data" angle, by talking about Hadoop and even mentions data streams.
The "task list" is very useful of itself, by making one aware of what goes into data governance. The illustrations make the discussion concrete, and, obviously, tell the reader - a CTO, perhaps - that data-governance-related task X, which he just read about, can be automated using software product A, while task Y is handled by software product B.
What the CTO will not be able to get from "Data Governance Tools", however, is guidance on whether B can also do X, or whether A can do Y. (Appropriately, the subtitle promises "evaluation criteria", not feature-comparison checklists). I think one can be pardoned for calling a "Data Governance Tools" a synthesis exercise that is a step above a collage of software products' marketing-copy snippets and screen shots. Nonetheless, I appreciate "Data Governance Tools" as a useful, substantial read.
PS. Chapter 12, "Analytics and reporting" - 3 pages long?
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