9781583478448-1583478442-Data Governance Tools: Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management

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

ISBN-13: 9781583478448
ISBN-10: 1583478442
Edition: 1
Author: Sunil Soares
Publication date: 2014
Publisher: MC Press
Format: Paperback 368 pages
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Book details

ISBN-13: 9781583478448
ISBN-10: 1583478442
Edition: 1
Author: Sunil Soares
Publication date: 2014
Publisher: MC Press
Format: Paperback 368 pages

Summary

Data Governance Tools: Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management (ISBN-13: 9781583478448 and ISBN-10: 1583478442), written by authors Sunil Soares, was published by MC Press in 2014. With an overall rating of 4.5 stars, it's a notable title among other Computer Science books. You can easily purchase or rent Data Governance Tools: Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management (Paperback) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.6.

Description

Comprehensively covers evaluation criteria for and capabilities of the software tools available for implementing a data governance program

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.
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