Blob output partitioning in Azure Stream Analytics

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/)