Dumb-Proofing Data Pipelines: Techniques for Configurable and Maintainable ETL - Databricks

Dumb-Proofing Data Pipelines: Techniques for Configurable and Maintainable ETL - Databricks

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Intro

1 of 14

1 of 14

Intro

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Dumb-Proofing Data Pipelines: Techniques for Configurable and Maintainable ETL - Databricks

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  1. 1 Intro
  2. 2 Why make your data pipelines dumb-proof?
  3. 3 How to make your data pipelines dumb-proof?
  4. 4 Fixing Hard coded Data Pipelines
  5. 5 Parameters & Input Validation
  6. 6 Externalizing Configuration
  7. 7 Configuration in JSON Format
  8. 8 Optimized Configuration in HOCON format
  9. 9 Readable and maintainable Configuration
  10. 10 Configuration Library
  11. 11 Refactor Code - Loading and Parsing Configuration
  12. 12 Boilerplate free configuration code
  13. 13 Sample Code
  14. 14 Summary

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