AzureFunBytes Episode 70 - Intro to @Azure Stream Analytics with @fleid_bi

Описание: 00:00:00 - Opening
00:03:05 - A special announcement on the future of AzureFunBytes
00:04:45 - Welcome to the show Florian!
00:07:03 - So how'd you get here?
00:09:37 - Benefits of being an MVP
00:18:52 - Intro to Azure Stream Analytics
00:19:14 - Why (near) real time?
00:21:05 - Stream processing
00:30:05 - ASA: Canonical real-time data pipeline
00:30:31 - ASA: Value proposition
00:31:19 - Positioning in Azure
00:36:31 - ASA: Developer Experience
00:38:17 - Demo time, Let's build something!

This week on AzureFunBytes we’ll be discussing how to best get started in stream processing with Azure Stream Analytics. Azure Stream Analytics 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.

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 extension.

To help get started understanding ASA jobs, I've reached out to Microsoft Senior Product Manager Florian Eiden.

Our planned agenda:

High level intro to stream processing – what Stream Analytics does
The Azure Stream Analytics service, when to use it vs Functions or Data Factory
The local development experience in VS Code: writing a query, debugging and testing

Get $200 in free Azure Credit - https://cda.ms/219
Microsoft Learn: Introduction to Azure fundamentals - https://cda.ms/243
Introduction to Azure Stream Analytics | Microsoft Docs - https://cda.ms/3Sc
Quickstart - Create an Azure Stream Analytics job in Visual Studio Code | Microsoft Docs - https://cda.ms/3Sd
Develop Azure Stream Analytics queries locally with Visual Studio Code | Microsoft Docs - https://cda.ms/3Sf
Test an Azure Stream Analytics job locally with sample data using Visual Studio Code | Microsoft Docs - https://cda.ms/3Sg
Input validation for better Azure Stream Analytics job resiliency | Microsoft Docs - https://cda.ms/3Sh
Understand time handling in Azure Stream Analytics | Microsoft Docs - https://cda.ms/3Sj
Stream Analytics Query Language Reference - Stream Analytics Query | Microsoft Docs - https://cda.ms/3Sk