<div><div><div><div><div><div><div>This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive
Data Governance Tools: Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management
โ Scribed by Sunil Soares
- Publisher
- Mc Press
- Year
- 2014
- Tongue
- English
- Leaves
- 368
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
ย
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.
โฆ Subjects
Computer Science;AI & Machine Learning;Bioinformatics;Computer Simulation;Cybernetics;Human-Computer Interaction;Information Theory;Robotics;Systems Analysis & Design;Computers & Technology;Databases & Big Data;Access;Data Mining;Data Modeling & Design;Data Processing;Data Warehousing;MySQL;Oracle;Other Databases;Relational Databases;SQL;Computers & Technology;Computer Science;Algorithms;Artificial Intelligence;Database Storage & Design;Graphics & Visualization;Networking;Object-Oriented Softwar
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