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Stream Analytics: Output partitioning to Blob storage by custom date and time formats

Updated: 26 September, 2018

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.

  • Azure Stream Analytics
  • Azure Databricks
  • HDInsight
  • Features