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The following articles provide best practices for data engineering in Azure Databricks.
- Optimize join performance in Azure Databricks
- Data modeling
- Configure RocksDB state store on Azure Databricks
- Asynchronous state checkpointing for stateful queries
- What is asynchronous progress tracking?
- Production considerations for Structured Streaming
- Clean and validate data with batch or stream processing
For links to other best practices articles, including CI/CD workflows best practices, see Best practice articles.