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. It also enables stronger alignment with downstream Hive-supported formats and conventions when consumed by services such as Azure HDInsight or Azure Databricks.