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

Опубликовано 26 сентября 2018 г.

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