Optimizing Incremental Ingestion in the Context of a Lakehouse
Summary
Incremental ingestion into a Lakehouse is built with Databricks Autoloader and Change Data Feed plus Spark Structured Streaming and Trigger Once, turning batch processes into a streaming setup without an always-on cluster. The setup avoids reloading large data volumes, and Autoloader schema inference, recovery mechanisms and file discovery modes get extra focus.
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