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 141: Wait, Wait, What?
Episode 140: Why data types matter
Episode 139: Getting Started with SQL Server in Azure
Episode 138: Meeting of the Minds
Episode 137: You want to work with Analytics?
Episode 136: Devops with Visual Studio
Episode 135: Seinfeld Episode
Episode 134: CosmosDB
Episode 133: Shrinking Files
Episode 132: What technologists can learn from superheroes
Episode 131: Big Data Solutions in the Cloud
Episode 130: Use Case for PowerShell
Episode 129: Graph Databases
Episode 128: Database Doing DevOps
Episode 127: Developing in the database
Episode 126: SQLSaturday Edition
Episode 125: You must be an engineer
Episode 124: Beyond the runbook; DR Organization
Episode 123: Top 5 things to know when getting admin access
Episode 122: Isolation Levels
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