Advanced Auto Loader Patterns for Large-Scale JSON and Semi-Structured Data

Databricks Auto Loader is a managed feature of Spark that incrementally and efficiently processes new data files as they arrive in cloud storage. It supports JSON and many semi-structured formats and is widely used to handle large-scale ingestion of flexible schemas.

Auto Loader incrementally pulls new JSON or other files from cloud storage and writes them to Delta Lake tables for downstream analytics.