What will you learn?
By the end of this workbook, you’ll not only have a comprehensive understanding of the steps involved in ensuring reliable data, but also practical insights into executing these steps effectively.
Get ready to gain the essentials you need to:
Understand the importance of data observability and its impact on your organization
Learn how to profile and classify your data to identify quality issues
Develop and enforce data policies and quality rules to maintain data integrity
Utilize machine learning to detect anomalies and ensure data consistency
Monitor the impact of data quality issues and prioritize remediation efforts
Create effective notification and escalation processes for data issues
Continuously optimize your data observability practices for ongoing improvement
You’ll also be ready to explore the benefits of leveraging Collibra Data Quality & Observability for your data observability program.
