Building a Robust Data Pipeline with the DAG Stack - dbt, Airflow, and Great Expectations

Building a Robust Data Pipeline with the DAG Stack - dbt, Airflow, and Great Expectations

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Intro

1 of 29

1 of 29

Intro

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Building a Robust Data Pipeline with the DAG Stack - dbt, Airflow, and Great Expectations

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  1. 1 Intro
  2. 2 Who am I
  3. 3 Overview
  4. 4 dbt
  5. 5 sample code
  6. 6 dbt run
  7. 7 What dbt doesnt have
  8. 8 Apache Airflow
  9. 9 dbt in Airflow
  10. 10 Airflow dag file
  11. 11 What is Great Expectations
  12. 12 What is Great Expectations Statement
  13. 13 Typical Great Expectations Workflow
  14. 14 Automatic Profiling
  15. 15 Databox
  16. 16 Great Expectations Operator
  17. 17 Recap
  18. 18 Test your data
  19. 19 Where do we start
  20. 20 Technical pointers
  21. 21 Data testing
  22. 22 Data validation
  23. 23 Putting it all together
  24. 24 Airflow dag
  25. 25 Source data load validation
  26. 26 Running tests during development
  27. 27 Test integrity
  28. 28 Wrap up
  29. 29 QA

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