"One of the reasons we've seen the need for Data Factory is because so many of our customers are doing things in a hybrid environment," Oberoi says. "The need to support information production across on-premise and cloud has become fairly acute."
Oberoi likens Data Factory to data integration 2.0, providing orchestration between the myriad data stores and processing types that are increasingly becoming available.
"Azure Data Factory helps solve this problem by providing customers with a single place to manage data movement, orchestration and monitoring of diverse data sources, including SQL Server and Azure Blobs, Tables, Azure SQL Database and SQL Server in Azure Virtual Machines," Sirosh says. "Developers can efficiently build data driven workflows to join, aggregate and transform data from local, cloud-based and Internet services, and set up complex data processing systems with little programming."
Stream Analytics and Azure Data Factory are currently available in preview. Azure Event Hubs is now generally available.
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