Skip Navigation

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

Presented by: 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.   

For more information:

Related videos

Execute Jars and Python scripts on Azure Databricks using Data Factory

HDInsight: Fast Interactive Queries with Hive on LLAP