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 118: How has index maintenance changed?
Episode 117: PASS Summit Retrospective
Episode 116: Are people still using PSSDiag?
Episode 115: The Companero Conference Retrospective
Episode 114: How do you start consulting?
Episode 113: Standing on the shoulders of giants
Episode 112: Keeping up with patching
Episode 111: How do you prepare for conferences?
Episode 110 How do I build trust with my team
Episode 109: To certify or not to certify?
Episode 108: The Future of the Relational Database
Episode 107 BI for the Little Guy
Episode 106 Temporal Tables
Episode 105 When is enough, enough?
Episode 104: Keeping up with technology
Episode 103 Plan Reuse
Episode 102 Monitoring Availability Groups
Episode 101 Inspecting a new Database
Episode 100 Role Reversal
Episode 99 Imposter Syndrome
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