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이 비디오는 한국어에서 사용할 수 없습니다. 이 비디오는 English (US)에서 사용할 수 있습니다.

Ingest, prepare, and transform using Azure Databricks and Data Factory

게시자: Scott Hanselman

Today's business managers depend heavily on reliable data integration systems that run complex ETL/ELT workflows (extract, transform/load and load/transform data). Gaurav Malhotra joins Scott Hanselman to discuss how you can iteratively build, debug, deploy, and monitor your data integration workflows (including analytics workloads in Azure Databricks) using Azure Data Factory pipelines.   

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