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Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema

Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema

Databricks via YouTube Direct link

SEGA

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SEGA

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Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema

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  1. 1 Intro
  2. 2 SEGA
  3. 3 Key Requirements
  4. 4 Sample Data
  5. 5 Schema Changes
  6. 6 Schema Variation Hash
  7. 7 Foreach Batch
  8. 8 Update the Schema
  9. 9 Schema Repository
  10. 10 Retrieve the schema
  11. 11 Management Stream
  12. 12 Key takeaways

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