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 76: Availability Group Improvements
Episode 75 Storage Testing
Episode 74: 2016 Year in Review
Episode 73: Performance Tuning
Episode 72: Test Automation in BI
Episode 71: BI Tools of the Trade
Episode 70 SQL Server on Linux
Episode 69: Our SQL Server Setup Checklist
Episode 68: SSIS Administration
Episode 67 Dear Developer
Episode 66: Microsoft's Professional Program
Episode 65: Do you have good data architecture?
Episode 64: Certifications and Career Development
Episode 63: New Data AvailabilityFeatures in SQL Server 2016
Episode 62: Ask Me Anything--Cortana Intelligence Suite
Episode 61: The Debrief
Episode 60: What is U-SQL?
Episode 59: Mirroring, Availability Groups, Replication, and Log shipping
Episode 58: 4 ways to stay sharp with technical learning
Episode 57: What SQL Server feature would you change?
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