Our newly released public preview services, Azure Data Lake Store
and Azure Data Lake Analytics
, make big-data processing and analytics simpler, dynamically scalable, and more accessible. You can now use Azure Data Factory
to create data pipelines to move data from a variety of sources into Data Lake Store and vice versa. You can also run queries with Data Lake Analytics.
These activities can be easily incorporated as processing steps in a Data Factory pipeline—tying your big data workloads together in one place for scheduling, management, and monitoring.
To try Data Factory and start building pipelines, please visit the Learning path for Azure Data Factory
page. If you have feature requests or want to provide feedback about Data Factory, please visit the Azure Data Factory