Azure Data Lake Store and Azure Data Lake Analytics integration with Azure Data Factory
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Our newly released public preview services, [Azure Data Lake Store](https://azure.microsoft.com/services/data-lake-store) and [Azure Data Lake Analytics](https://azure.microsoft.com/services/data-lake-analytics), make big-data processing and analytics simpler, dynamically scalable, and more accessible. You can now use [Azure Data Factory](https://azure.microsoft.com/services/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](https://azure.microsoft.com/documentation/learning-paths/data-factory/) page. If you have feature requests or want to provide feedback about Data Factory, please visit the [Azure Data Factory](https://feedback.azure.com/forums/270578-azure-data-factory) forum.
* Azure Data Factory
* Data Lake Analytics
* Azure Data Lake Storage Gen1
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* [ Azure Data Factory](https://azure.microsoft.com/en-gb/products/data-factory/)
* [ Data Lake Analytics](https://azure.microsoft.com/en-gb/products/data-lake-analytics/)
* [ Azure Data Lake Storage Gen1](https://azure.microsoft.com/en-gb/products/storage/data-lake-storage/)
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We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer
May 31st, 2024
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