Stream Analytics: Output partitioning to Blob storage by custom date and time formats
Microsoft announced general availability of this Azure Databricks and Azure Stream Analytics (and more) update in September 2018.
Launched1 version
Facts
- Microsoft id
output-partitioning-to-azure-blob-storage-by-custom-date-and-time-formats- Status
- Launched
- Products
- Azure Databricks, Azure Stream Analytics, HDInsight
- Update type
- Features
- Product categories
- AI + machine learning, Analytics, Internet of Things
- General availability
- September 2018
- Status pages
- Azure Databricks status, Azure HDInsight status, Azure Stream Analytics status
- First captured by us
- (from our first import of this list)
- Microsoft last modified
- Source
- Azure Updates · open the original at Microsoft
Microsoft says
Azure Stream Analytics users can now partition output to Azure Blob storage based on custom date and time formats.
What Microsoft changed
One version so far. If Microsoft edits it, each change shows here with what was removed and added.
First version we captured ·
As first seen: Launched
- Status
- Launched
Seen by us · Microsoft's timestamp · Microsoft's page
Related changes
Other changes for Azure Databricks, Azure HDInsight, Azure Stream Analytics
- Public preview: Stream Analytics No-Code Editor available in Azure Stream Analytics Portal · In preview
- Public Preview: Azure Data Explorer connector for Apache Flink · In preview
- Setting Up a CI/CD Pipeline with GitHub Actions for Stream Analytics Jobs · Launched
- Azure HDInsight Information Disclosure Vulnerability
- Public preview: Capture Event Hubs data with Stream Analytics no-code editor in Delta Lake format · In preview
- Public preview: Processor diagram in Physical Job Diagram for Stream Analytics job troubleshooting · In preview
- Now Available: Azure Databricks is generally available in China North 3 · Launched
- Public preview: Job diagram simulator in VS Code · In preview
Last updated