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

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Community Manager

Today’s business managers depend heavily on reliable data integration systems that run complex ETL/ELT workflows (extract, transform/load and load/transform data). These workflows allow businesses to ingest data in various forms and shapes from different on-prem/cloud data sources; transform/shape the data and gain actionable insights into data to make important business decisions.

 

With the general availability of Azure Databricks comes support for doing ETL/ELT with Azure Data Factory. 

 

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Read more about it in the Azure blog.

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