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Great Expectations
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Great Expectations

I bring up Great Expectations because data observability is no longer a nice-to-have—it’s an expectation. If you’re building pipelines for AI and analytics, you need validation and data contracts so downstream teams aren’t constantly debugging broken inputs.

Pros

  • +Helps validate data quality with explicit expectations
  • +Encourages data contract and observability practices

Cons

  • -Requires ongoing maintenance as schemas evolve
  • -Can add overhead if not integrated thoughtfully

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Great Expectations

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Highlights

  • +Helps validate data quality with explicit expectations
  • +Encourages data contract and observability practices

Recommended by

Aishwarya Srinivasan