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Data quality is an often overlooked component of data pipelines. Learn why it is a valuable part of data systems and how to get started integrating data quality checks into existing pipelines with a variety of tools.
Key Takeaways
- Learn how to make a case for data quality in your org
- Familiarize yourself with modern data quality tooling
- Understand trade-offs of scheduling data quality tasks
