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 195: Understanding DAX
Episode 194: PolyBase Use Cases
Episode 193: Power BI Premium
Episode 192: The DBA is Dead! Long Live the DBA!
Episode 191: Power BI Row-Level Security
Episode 190: SQL Server 2019
Episode 189: Power BI Common Data Model
Episode 188: Databricks
Episode 187: Power BI Performance Tuning
Episode 186: Analytics & Security: Find Pain Points, Make a Plan
Episode 185: DBATools in a Month of Lunches
Episode 184: Where do people get stuck with Power BI?
Episode 183: SQL Server Big Data Clusters
Episode 182: XEvents
Episode 181: Paginated Reports in Power BI
Episode 180: PolyBase in SQL Server 2019
Episode 179: SQL Trail Recap & Buying Power BI
Episode 178: Database Design
Episode 177: Lock Pages in Memory
Episode 176: Power BI Storage Options
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