We have been moving data for years with technologies like DTS and SSIS; however, these were very much designed for on-premises moves in mind. As more cloud services were being offered Microsoft needed a service to help customers using those services move data around. Azure Data Factory was born with the initial premise of moving data between cloud services; however, it has added the ability to connect with on-premises systems and continues to add a variety of connectors it can now natively support.
In this episode, we chat with our friend Andy Leonard about Azure Data Factory, his experience working with the product team, and how customers can leverage the cloud to get business done faster.
Episode 175: Migrating to the Cloud
Episode NULL: Summer Break
Episode 174: Power BI Report Server
Episode 173: New Data Certifications
Episode 172: Power BI Monitoring
Episode 171: SQL Server Encryption
Episode 170: Devops with Power BI
Episode 169: Should you learn to code?
Episode 168: Data Privacy Settings
Episode 167: Azure SQL Data Sync
Episode 166: Custom Visuals
Episode 165: Artificial Intelligence
Episode 164: The DAX Episode
Episode 163: Very Large Databases
Episode 162: Power Query vs DAX
Episode 161: Migrating/Upgrading 8000 databases
Episode 160: Power BI Embedded
Episode 159: Power BI Dataflows
Episode 158: Gateways
Episode 157: Windows Server Core
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