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Data Governance Tools (Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management)
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Product Details
Author:
Sunil Soares
Format:
Paperback
Pages:
368
Publisher:
MC Press (February 1, 2015)
Language:
English
ISBN-13:
9781583478448
ISBN-10:
1583478442
Weight:
16oz
Dimensions:
7" x 9" x 0.8"
Case Pack:
20
File:
Eloquence-IPG_06202026_P10235736_onix30-20260620.xml
Folder:
Eloquence
As low as:
$51.56
List Price:
$59.95
Publisher Identifier:
P-IPG
Discount Code:
C
Audience:
General/trade
Pub Discount:
60
Imprint:
MC Press
Overview
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.
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.
