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 260: Contained Availability Groups
Episode 259: T-SQL Snapshot Backups
Episode 258: Leave 2022 Enter 2023
Episode 257: The Business of Working for Yourself
Episode 256: The Community Episode
Episode 255: Automate Complex CRUD with sp_CRUDGen
Episode 254: Code Smell Checks with sp_Develop
Episode 253: Go Mobile with Power Apps
Episode 252: The Cumulative Update Dilemma
Episode 251: Azure Cognitive Services
Episode 250: What happens before... “COMPANEROS!”
Episode 249: Data Marts in Power BI
Episode 248: Inventory Documentation
Episode 247: Pushing the Boundaries or Pushing Your Luck
Episode 246: Microsoft Build 2022 Announcements
Episode 245: Tooling Updates
Episode 244: Extended Events vs SQL Server Audit
Episode 243: Choosing What Content To Focus On
Episode 242: Upgrading Your SQL Server
Episode 241: Replicating Data with Azure SQL Data Sync
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