Mapping data flows are visually designed data transformations in Azure Data Factory. Data flows allow data engineers to develop data transformation logic without writing code. The resulting data flows ...

The resulting data flows are executed as activities within Azure Data Factory pipelines that use scaled-out Apache Spark clusters. Data flow activities can be operationalized using existing Azure Data ...

Earlier this year, in May, Microsoft introduced a number of new features for its Azure Analytics and database space. As part of these, Azure Data Factory (ADF) also got some new capabilities. For ...

This framework can also be used in any Azure Tenant and allows the creation of complex control flows across multiple orchestration resources and even across Azure Tenant/Subscriptions by connecting ...

The second major version of Azure Data Factory, Microsoft's cloud service for ETL (Extract, Transform and Load), data prep and data movement, was released to general availability (GA) about two ...

This new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. ... Configure, load ...

In response to developer feedback, Microsoft is taking a page from the growing visual, low-code development approach to simplify Big Data analytics in the cloud with Azure Data Factory. The new visual ...