Data Governance Tools: Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management

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?