Learning Data Governance
Learning Data Governance
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 23m | 446 MB
Instructor: Jonathan Reichental
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 23m | 446 MB
Instructor: Jonathan Reichental
In the era of big data and data science, data governance has the ability to help all types of organizations and individuals become more successful. In this course, Dr. Jonathan Reichental introduces the topic of data governance in terms that everyone can understand, and helps you discover why your organization may benefit from data governance, how it's implemented, and why it's essential in compliance and risk reduction efforts.
Jonathan also covers the role of data governance in emerging technology areas such as knowledge graphs, artificial intelligence, and the Internet of Things. In the last part of the course, he shares ideas on how organizations should think about managing, monitoring, and measuring data governance efforts. As data science grows in its importance in the 21st century, so does the demand for data governance expertise. Start here to get your first look at this in-demand skill.
Learning objectives
- Define data governance and explain its importance in modern organizations, including its role in compliance, security, and privacy.
- Design basic data governance processes and create data governance policies suitable for your organization's needs.
- Evaluate whether a data governance program is needed and identify the appropriate roles and responsibilities required for effective implementation.
- Assess the effectiveness of a data governance program by developing monitoring and measurement strategies to demonstrate its value and justify continued investment.
- Construct a comprehensive data governance framework that incorporates key components such as data catalogs, knowledge graphs, and emerging technologies like AI and IoT, tailored to your organization's specific requirements.
Learning Data Governance
