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 275: Machine Learning and Power BI
Episode 274: A CMM Case Study
Episode 273: The Capability Maturity Model for Data Professionals
Episode 272: Performance Tuning Scripts
Episode 271: Pass Summit 2023 Wrap-Up
Episode 270: Medallion Architecture
Episode 269: Why Do I Need a Managed Service Provider?
Episode 268: AI and the Future of the Database
Episode 267: Microsoft Fabric
Episode 266: Working with Containers
Episode 265: WHY and What's Next
Episode 264: Verified Backups
Episode 263: SQL Server This ‘n That
Episode 262: Learning Azure Synapse Pt 1
Episode 261: The Data Lakehouse
Episode 260: Contained Availability Groups
Episode 259: T-SQL Snapshot Backups
Episode 258: Leave 2022 Enter 2023
Episode 257: The Business of Working for Yourself
Episode 256: The Community Episode
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