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.

We recently announced support for using protobuf with Azure Stream Analytics with a built-in deserializer. You can learn more from our recent blog:.

Exciting News !!! Using Azure Stream Analytics to connect to your Kafka clusters is now in public preview! .

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

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

The #AzureStreamAnalytics no-code editor now supports Power BI outputs, enabling you to create real-time dashboards with drag and drop experience and at low cost, without the need for separate databases to cache the data. Check out this blog for details.

Excited about #DeltaLake but don't know where to start? Check out the options provided by #AzureStreamAnalytics. You are only a few clicks away.

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

You can now capture Event Hubs data into ADLS Gen2 storage in #deltalake format without writing a single line of code. Learn more here. #AzureStreaming #IoT

5 mins to build a full e2e streaming application!!.

To learn how you can quickly build a real-time streaming application, check out this article.

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: #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!.

#refined.You can now easily modify your input and outputs when writing your query without ever leaving the query development experience! #ASA #Azure. ASAjob => Query => Input/Output => three dots near the input/output to choose if you want to edit it or go to the resource page.

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.

If you missed all the cool improvements we announced few weeks back at Build 2022, here is a quick recap:

Stream tip for the week:. Turn on diagnostics logs when setting up your #ASA job for debugging/troubleshooting. It can save you & us 😉 so much time when something weird happens to your job. #Azure #AzureStreamAnalytics.

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.

Stream tip for the week:. Azure Stream Analytics has built-in recovery capabilities in case the delivery of an event fails. Stream Analytics also provides built-in checkpoints to maintain the state of your job and provides repeatable results.