Скачать или смотреть Revolutionize Data Engineering: Automate Ingestion with Databricks Auto Loader

This workshop introduces Databricks Auto Loader, a scalable and automated tool for efficient data ingestion from Azure Data Lake Storage (ADLS). It solves common challenges like schema evolution, data latency, and error handling by enabling incremental processing, dynamic schema management, and robust fault tolerance. Participants will learn to build a complete Auto Loader pipeline, including architecture, setup, and working code, with practical examples. The solution simplifies pipelines, ensures data freshness, and improves reliability for downstream analytics. This hands-on session equips you with the skills to optimize and deploy data pipelines in production environments.

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🔗 Course URL: https://accentfuture.com/courses/data...

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Code and Sample data Repo:
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AccentFuture Blog:
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