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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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lnkd.in

pvignesh92
Honored Contributor

Databricks Auto Loader is an interesting feature that can be used to load data incrementally.

โœณ It can process new data files as they arrive in the cloud object stores

โœณ It can be used to ingest JSON, CSV, PARQUET, AVRO, ORC, TEXT and even Binary file formats

โœณ Auto Loader can support a scale of even million files per hour. It maintains the state information at a checkpoint location in a key-value store called RocksDB. As the state is now maintained in the checkpoint, it can resume from where it was left off even in times of failure and can guarantee exactly-once semantics.

Please find my write-up on Databricks AutoLoader on Medium here. Happy for any feedbacks ๐Ÿ™‚

๐Ÿ”… Databricks Autoloader Series- Accelerating Incremental Data Ingestion: https://lnkd.in/ew3vaPmp

๐Ÿ”… Databricks Auto Loader Seriesโ€” The basics: https://lnkd.in/e2zanWfc

1 REPLY 1

Ajay-Pandey
Databricks MVP

Thanks for sharing

Ajay Kumar Pandey