This course provides a comprehensive introduction to data governance and data management, equipping learners with the knowledge to ensure data accuracy, quality, and compliance. It starts with the fundamentals of data governance, explaining its purpose, the responsibilities of data stewards, and how it impacts organizational decision-making.
Learners will explore metadata management, master data management (MDM), and product information management (PIM) to understand how data is organized, standardized, and maintained across systems. Topics such as dirty data, null data, and data deduplication illustrate common challenges organizations face and the strategies used to address them.
The course also highlights practical considerations for modern data architectures, including data catalogs, cloud-native systems, and next-generation data platforms. Through examples like Snowflake’s data governance features and real-world case studies, learners gain insight into implementing effective governance programs that support both compliance and business objectives.
By the end of the course, participants will understand how to build and maintain a robust data governance framework, improve data quality, and leverage organizational data for strategic advantage.
