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 38: SQL Server 2016 Feature Review
Episode 37: PowerBI and the DBA
Episode 36: SQL Server Virtual Machines in Azure
Episode 35: Position Yourself to Better Opportunities
Episode 34: In-Memory Tables
Episode 33: From Developer To DBA
Episode 32: Up Your Game With PowerShell!
Episode 31: What Has Virtualization Done To My Database?
Episode 30: The Best Investment You Can Make
Episode 29: You Thinking What I Am Thinking?
Episode 28: How Do You Know There Is A Problem? Baselines!
Episode 27: Testing Changes Before You Break Production
Episode 26: DevOps for the Database--Everyone is Doing it, Right?
Episode 25: Stretch Database
Episode 24 Query Store
Episode 23: IO, IO, It’s Off to Tune We Go
Episode 22: Eight Years of sp_whoisactive
Episode 21: Azure Data Factory
Episode 20: the Role of Mentors
Episode 19: How Solid State Disks Can Help SQL Server
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