Auto loader, the most popular tool for incremental data ingestion from cloud storage to Databricks’ Lakehouse, is used in our biggest customers’ ingestion workflows. Auto Loader is our all-in-one solution for exactly-once processing offering efficient file discovery, schema inference and evolution, and fault tolerance.

In this talk, we want to delve into key features in Auto Loader, including: • Avro schema inference • Rescued column • Semi-structured data support • Incremental listing • Asynchronous backfilling • Native listing • File-level tracking and observability

Auto Loader is also used in other Databricks features such as Delta Live Tables. We will discuss the architecture, provide a demo, and feature an Auto Loader customer speaking about their experience migrating to Auto Loader.

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