Data Governance and Data Management Functions and Initiatives
Rupa Mahanti ()
Chapter Chapter 3 in Data Governance and Data Management, 2021, pp 83-143 from Springer
Abstract:
Abstract The data management discipline has several functions or components with data governance being identified as one of the core components of data management tying together the other data management functions and data initiatives—for example, data architecture management, data modelling and design, master data management, reference data management, data warehousing and business intelligence, data quality management, metadata management, data security management, data storage and operations, document and content management, data integration and interoperability, data migration, big data, and analytics. In this chapter, we discuss the alignment and interaction of data governance in detail with each of these data management functions. The concept of big data, how big data differs from traditional data, and the application of data governance in big data, analytics, and data lakes has also been discussed in a separate section.
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-3583-0_3
Ordering information: This item can be ordered from
http://www.springer.com/9789811635830
DOI: 10.1007/978-981-16-3583-0_3
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().