The official account for Microsoft Azure Stream Analytics. Follow us for news and updates from the product team and community.

Redmond, WA
Joined March 2015
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ICYMI: You can ingest data directly from your confluent cloud kafka clusters, whether hosted on Azure or another cloud provider, into Azure Stream Analytics and write to over twelve different services in Azure for your data needs. learn.microsoft.com/en-us/az…
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We recently announced support for using protobuf with Azure Stream Analytics with a built-in deserializer. You can learn more from our recent blog: techcommunity.microsoft.com/…
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Getting ready to boost development efficiency, reduces message overhead, and enables seamless transitions with new schema versions! Azure Stream Analytics now supports Schema Registry Integration. Progress never stops! #AzureStreaming #SchemaManagement techcommunity.microsoft.com/…
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Are you a developer looking to master Azure Stream Analytics? Our comprehensive guide to the developer journey in ASA will take you from initial setup to production deployment, and explore ways to achieve top performance. Check it out! #AzureStreaming #IoT techcommunity.microsoft.com/…
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Need help optimizing your Stream Analytics job? Try the latest Physical job diagram and deeply dive into your job's processor metrics. Each processor represents one or more query steps and shows where the bottleneck is. Check it out! #AzureStreaming #IoT learn.microsoft.com/azure/st…
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the reason why we need configure like this is the pattern you configured is using second granularity {datetime:ss}
we had fixed this issue, could you please try again? maybe you will meet other error message, said something about "Time window 'xx:xx:xx' is greater than path pattern frequency", if that is the case, please change the configuration to 1 second as below
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Azure Stream Analytics is thrilled to announce exciting updates at #ignite2022! - Native support of Delta Lake output 🚀 - 7 pre-defined templates in no code editor 📝 and much more! Checkout this blog to learn more: lnkd.in/g-js2tgK #AzureStreaming #IoT
Excited to share Sept 2022 Update to Stream Analytics! Up to 45% CPU perf gains to reduce cost💸 Pre-created metrics dashboard to simplify monitoring📊 No code editor improvements 🥳 GA of PostgreSQL output connector 🔗 Query editor improvements 🧰 & more! techcommunity.microsoft.com/…
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Do you want to use machine learning to do real-time scoring and tackle scenarios like anomaly detection and predictive maintenance? Check out the Azure ML integration with #AzureStreamAnalytics which allows you to use open-source tools such as TensorFlow or PyTorch.
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Finally, Friday🥳 Let us know what your experience has been using #AzureStreamAnalytics so far. We are working to democratize real-time analytics and would love to have you on board #Azure #ASA