Data Governance Tools
- Length: 368 pages
- Edition: 1
- Language: English
- Publisher: Mc Press
- Publication Date: 2014
- ISBN-10: 1583478442
- ISBN-13: 9781583478448
- Sales Rank: #2079312 (See Top 100 Books)
Data governance is the formulation of policy to optimize, secure, and leverage information as an enterprise asset by aligning the objectives of multiple functions. Data governance programs have traditionally focused on people and process. Cost has historically been a key consideration because data governance programs have often started from scratch, with little to no funding. As a result, Microsoft Excel and SharePoint have been the tools of choice to document and share data governance artifacts. While the marginal cost of these tools is zero, they are often missing critical functionality. Meanwhile, vendors have matured their data governance offerings to the extent that organizations need to consider tools as a critical component of their data governance programs.
It is not always clear, however, what “data governance tools” really means. In this book, data governance expert Sunil Soares reviews a reference architecture for data governance software tools. He seeks to define the category called “data governance,” as well as lay out evaluation criteria for software tools, the vendor landscape, and the alignment with big data.
The book contains five sections:
Table of Contents
Part I Introduction
Chapter 1: An Introduction To Data Governance
Chapter 2: Enterprise Data Management Reference Architecture
Part II Categories Of Data Governance Tools
Chapter 3: The Business Glossary
Chapter 4: Metadata Management
Chapter 5: Data Profiling
Chapter 6: Data Quality Management
Chapter 7: Master Data Management
Chapter 8: Reference Data Management
Chapter 9: Information Policy Management
Part III The Integration Between Enterprise Data Management And Data Governance Tools
Chapter 10: Data Modeling
Chapter 11: Data Integration
Chapter 12: Analytics And Reporting
Chapter 13: Business Process Management
Chapter 14: Data Security And Privacy
Chapter 15: Information Lifecycle Management
Part IV Big Data Governance Tools
Chapter 16: Hadoop And Nosql
Chapter 17: Stream Computing
Chapter 18: Text Analytics
Part V Evaluation Criteria And The Vendor Landscape
Chapter 19: The Evaluation Criteria For Data Governance Platforms
Chapter 20: Asg
Chapter 21: Collibra
Chapter 22: Global Ids
Chapter 23: Ibm
Chapter 24: Informatica
Chapter 25: Orchestra Networks
Chapter 26: Sap
Chapter 27: Talend
Chapter 28: Notable Vendors
Appendix A: List Of Acronyms
Appendix B: Glossary
Appendix C: Potential Data Governance Tasks To Be Automated With Tools