Data governance is important in data management, as it focuses on the availability, consistency, usability, and security of data sources. Utilizing data governance is important for creating consistent pipelines for data management solutions.
Use this course as an introduction to data governance, exploring how it relates to master data management and is implemented into a business program. Then, examine how to create consistent and transparent governance models across multiple domains in data management.
Investigate data stewardship, integrity, and security, studying how data governance interacts with information technology in a business enterprise context. Identify the benefits of establishing multi-domain data governance. Lastly, list various ways different data management systems interact to maintain data integrity and enhance data security.
Upon completing this course, you'll know how to implement a data governance model correctly for your data management systems.

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Objectives

Modern Data Management: Data Governance discover the key concepts covered in this course identify key activities used for data stewardship specify how to establish data governance across multiple domains name the major issues involved and strategies used when trying to achieve data compliance outline the full cycle of integrating data into a governance system specify the risks in utilizing large databases and list the approaches to maintaining data security describe the key requirements for data compliance and specify how to achieve data protection and privacy specify how data governance helps improve data quality list the steps involved in the entity resolution process distinguish between basic database operations and functions build a business case that highlights the key advantages of data governance summarize the key concepts covered in this course