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.