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Blob output partitioning in Azure Stream Analytics

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Azure Stream Analytics users can now partition output to Azure Blob storage based on custom date and time formats. This feature greatly improves downstream data-processing workflows by allowing fine-grained control over the blob output, especially for scenarios such as dashboarding and reporting. Additionally, partition by custom date and time formats enables stronger alignment with downstream Hive-supported formats and conventions when consumed by services such as Azure HDInsight or Azure Databricks. [Learn more here.](https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-custom-path-patterns-blob-storage-output) * Azure Cognitive Search * Azure Stream Analytics * Features * [ Azure Cognitive Search](https://azure.microsoft.com/en-gb/products/search/) * [ Azure Stream Analytics](https://azure.microsoft.com/en-gb/products/stream-analytics/)