Session

Building Robust ETL Pipelines with Data Flows in Azure Data Factory

Azure Data Factory automates data workflows in the cloud, giving us the ability to run data transformation activities at scale while providing a single view for scheduling, monitoring, and managing complex ETL pipelines.

In this session, see how simple it is to build robust, low-code ETL pipelines on Azure with Data Flows in Azure Data Factory. We'll walk through standard data transformation activities for a modern data warehouse using APIs as our source data and landing that data as fact and dimension tables on an Azure SQL database.

Tony McGovern

Founder and Data Scientist at emdata.ai

Washington, District of Columbia, United States

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