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The following topics provide overviews of general concepts in data engineering in databricks.
- Procedural vs. declarative data processing in Azure Databricks
- What is data transformation on Azure Databricks?
- How to build simple, efficient, and low-latency data pipelines
- Tables and views in ETL
- What is change data capture (CDC)?
- Work with joins on Azure Databricks
- Aggregate data on Azure Databricks