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Blob output partitioning in Azure Stream Analytics

Tanggal dipublikasikan: 07 Februari, 2019

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.

  • Pencarian Kognitif Azure
  • Azure Stream Analytics
  • Features