How Databricks Leverages Auto Loader to Ingest Millions of Files an Hour
Summary
Auto Loader, a Structured Streaming source in Databricks, handles continuous, incremental ingestion from cloud storage with efficient file discovery through notifications or incremental listing and exactly-once guarantees across billions of files. The talk covers schema inference, drift detection and evolution, and how Databricks uses Auto Loader internally to ingest millions of files every hour.
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