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Data Governance Tools: Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management
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.
368 pages, Paperback
First published January 1, 2015
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May 1, 2019
De meeste boeken over data governance zweven lekker hoog over het werkveld, met een hoop gezwets over organisatorische inbedding, frameworks, blabla. Hier totaal andere insteek, nul theorie, vol op de ondersteunende software. Zelfs een business case voor de inzet van dit soort tools ontbreekt, dat is dan wel weer jammer. Wel gewoon concrete voorbeelden van use cases met printscreens van de verschillende manieren waarop verschillende vendors die ondersteunen. Ideaal als je op een punt in een project komt waarop je je afvraagt welke software zou kunnen helpen bij jouw probleem. Hoewel de schrijver zelf een link heeft met IBM blijft hij opvallend neutraal tov andere leveranciers. Een toolkeuze is misschien geen eerste horde in een DG vraagstuk, maar als je je er op zeker moment over wilt informeren is dit boek zeker aan te raden.
Displaying 1 of 1 review