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 58: 4 ways to stay sharp with technical learning
Episode 57: What SQL Server feature would you change?
Episode 56: What is your favorite SQL Server 2016 Feature?
Episode 55: The new and improved SQL Server Reporting Services
Episode 54: An Executive Panel Interview
Episode 53: THE Argenis Fernandez interview on storage
Episode 52: Statistics are coming to the DB R you ready?
Episode 51: A PowerShell Story
Episode 50: SQL Server Settings
Epsidode 49: Temp Tables VS Table Variables
Episode 48: Is the Data Warehouse Dead?
Episode 47: Helping Your Data Find A Home
Episode 46: Unraveling Code
Episode 45 Service Broker
Episode 44: Azure SQL Data Warehouse
Episode 43: Why is ETL so hard?
Episode 42: Who made that change? Find out with Auditing
Episode 41: Index Maintenance
Episode 40: SQL Server Compression
Episode 39: Set statistics and StatisticsParser.com
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