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 221: SQL Trail March 2021 Retrospective
Episode 220: Microsoft Ignite Recap
Episode 219: SQL Server Inventory
Episode 218: File Growths
Episode 217: A Little Something About A Few Things
Episode 216: EDI vs ETL
Episode 213: New Goals for 2021
Episode 212: 10 Things You Need to Know About Data Security
Episode 211: Solorigate
Episode 210: The Elephant in the Room
Episode 209: Career Ready: Advice to New Graduates
Episode 208: SQL Server and Graph Data
Episode 207: SQL Trail 2020 Retrospective
Episode 206: .NET Core Interactions with SQL Server
Episode 205: Data Modeling for Power BI
Episode 204: IoT in Azure
Episode 203: Spark in Action
Episode 202: Virtual Conferences
Episode 201: Common Data Model
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