How ETL tools fit into modern data pipeline architecture
Summary
Modern data pipeline architecture is shifting from external ETL servers to in-platform ELT, allowing data teams to land raw data directly into environments like Databricks and transform it with modular SQL. While traditional ETL remains relevant for legacy databases and strict compliance needs, moving transformations into the lakehouse enables incremental processing, version control, and parallel execution.
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