{"id":63507,"date":"2022-03-08T08:28:50","date_gmt":"2022-03-08T16:28:50","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/devops\/?p=63507"},"modified":"2022-02-23T08:32:13","modified_gmt":"2022-02-23T16:32:13","slug":"azurefunbytes-episode-70-intro-to-azure-stream-analytics-with-fleid_bi","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/devops\/azurefunbytes-episode-70-intro-to-azure-stream-analytics-with-fleid_bi\/","title":{"rendered":"AzureFunBytes Episode 70 – Intro to @Azure Stream Analytics with @fleid_bi"},"content":{"rendered":"

AzureFunBytes is a weekly opportunity to learn more about the fundamentals and foundations that make up Azure. It’s a chance for me to understand more about what people across the Azure organization do and how they do it. Every week we get together at 11 AM Pacific on Microsoft LearnTV<\/a> and learn more about Azure.<\/p>\n

\"AzureFunBytes<\/p>\n

Personal note<\/h2>\n

This will be my final live show of AzureFunBytes. I’ve really enjoyed doing this show for you every week. I appreciate you being part of my journey into the services, products, and people that make up an amazing Azure experience. Time for some new challenges.<\/p>\n

This week on AzureFunBytes we\u2019ll be discussing how to best get started in stream processing with Azure Stream Analytics (ASA). Azure Stream Analytics<\/a> is a real-time analytics service that lets you define streaming jobs in SQL. Once deployed, these jobs will subscribe to streaming inputs like Event Hub, and filter, enrich, transform, join, or aggregate events as they come.<\/p>\n

Stream Analytics offers multiple experiences for developers. Small work such as demos and prototypes can be quickly addressed in the Azure Portal. But most users will find that VS Code delivers the most complete developer experience for Stream Analytics via the ASA Tools<\/a> extension.<\/p>\n

To help get started understanding ASA jobs, I’ve reached out to Microsoft Senior Product Manager Florian Eiden<\/a>.<\/p>\n