Live briefing
Everything about Azure Stream Analytics
Cloud-based event processing service
Microsoft Azure Stream Analytics is a serverless scalable complex event processing engine by Microsoft that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications. Users can set up alerts to detect anomalies, predict trends, trigger necessary workflows when certain conditions are observed, and make data available to other downstream applications and services for presentation, archiving, or further analysis. Wikipedia →
đź§ Start here: a 6-step reading path
- Read the overview: Azure Stream AnalyticsA 5-minute orientation
- Pick up a classic book: Leadership, Management and Data ScienceThe most-reprinted book on the subject
- Read the landmark paper: Implementation of Real-Time Event-driven data engineering using Azure Fabric with Stream AnalyticsCited 1 times
- Go sideways: Microsoft Power PlatformA closely related topic
- Go sideways: Amazon KinesisA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Implementation of Real-Time Event-driven data engineering using Azure Fabric with Stream Analytics
Optimizing Real-Time Data Processing in Azure Stream Analytics with .NET: Techniques and Best Practices
From Batch to Real-Time: Modernizing Enterprise Data Pipelines Using Azure Event Hub and Stream Analytics
📚 Books worth reading
- 📕Leadership, Management and Data ScienceJerry Ramonyai · 2022
The Conspirators HierarchyJohn Coleman · 1992
Azure Data Engineering CookbookNagaraj Venkatesan, Ahmad Osama · 2021
Azure Data EngineeringRichard L. Nuckolls · 2020- 📕Stream Analytics with Microsoft AzureAnindita Basak, Krishna Venkataraman · 2017
- 📕Azure Storage, Streaming, and Batch AnalyticsRichard Nuckolls · 2020
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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