Stream Analytics

Official Documentation

Service Description

The analysis and evaluation of data stored in fixed memory ("resting") can be performed via HDInsight, for example. However, IoT scenarios often require the evaluation of data streams, i.e., data "in motion." Stream Analytics covers precisely this requirement, enabling analysis of data streams in real-time, i.e., data streams can be monitored, and abnormalities in the data can be detected and reported during operation. Queries on the data streams can be formulated in an SQL-based language. Database specialists therefore have a familiar technology for analyzing data streams.

Getting Started

  1. Stream Analytics Learning Path
    10/3/2016, Webpage
  2. Handling IoT data with Azure Stream Analytics
    7/23/2015, Video, 0:16:48
  3. Introduction to Azure Stream Analytics
    10/6/2015, Video, 0:47:03
  4. Streaming Analytics on Microsoft Azure
    12/5/2016, Video, 0:08:51
  5. Cortana Intelligence Suite End-to-End
    1/16/2017, Mva
  6. Hands-On with Azure Stream Analytics
    9/30/2016, Mva
  7. Azure Data Analytics for Developers
    11/21/2016, Mva
  8. Introduction to Azure IoT
    5/5/2017, Mva
  9. edX-Dev225x - Developing IoT Solutions with Azure IoT
    6/19/2017, Mva
  10. Deep Dive: Azure Stream Analytics Query Language
    5/28/2015, Video, 0:58:45

Latest Content

RSS Feed

Introducing the Azure app (preview) Blog
Azure IoT: A Developers' deep dive Video
Real-time sentiment built on the Azure IoT Stack Video
Smart buildings: Connecting Buildings to the Cloud Video
System performance is a feature: Understanding system health through telemetry (a continuation of real-time sentiment built on the Azure IoT Stack) Video
Lambda Architecture for Connected Car Fleet Management Video
SU Utilization Metric Blog
Data driven troubleshooting of Azure Stream Analytics jobs Blog
Announcing Azure Stream Analytics on edge devices (preview) Blog
Using Azure Stream Analytics JavaScript UDF to lookup values in JSON array Blog
Azure Stream Analytics Tools for Visual Studio Blog
Improved troubleshooting in Azure Stream Analytics with diagnostic logs Blog

Azure Documentation

1. Overview
     1.1. What is Stream Analytics?
     1.2. Compare Storm & Stream Analytics
2. Get started
     2.1. Process IoT streaming data
     2.2. Real-time fraud detection
3. How to
     3.1. Build streaming solutions
          3.1.1. Internet of Things
          3.1.2. Social media
          3.1.3. Sensor data with Power BI
          3.1.4. Real-time scoring with Machine Learning
          3.1.5. Real-time event processing
     3.2. Develop
          3.2.1. Common query patterns
          3.2.2. Tools for Visual Studio
          3.2.3. Create inputs
          3.2.4. Create outputs
          3.2.5. Use reference data
          3.2.6. Output to Azure Functions
          3.2.7. Output to Data Lake Store
          3.2.8. Output to DocumentDB
          3.2.9. Analyze data with Power BI
          3.2.10. JavaScript UDF integration
          3.2.11. REST API & Machine Learning integration
          3.2.12. Use the Management .NET SDK
          3.2.13. Window functions
     3.3. Manage
          3.3.1. Job reliability
          3.3.2. Monitor jobs programmatically
          3.3.3. Monitor jobs with PowerShell
          3.3.4. Scale to increase throughput
          3.3.5. Scale for Machine Learning functions
          3.3.6. Rotate input & output credentials
     3.4. Troubleshoot
          3.4.1. Troubleshooting guide
          3.4.2. Monitor jobs
          3.4.3. Resource health blade
          3.4.4. Job diagram and metrics
          3.4.5. Test queries
          3.4.6. Sample input data
          3.4.7. SELECT INTO debugging
          3.4.8. Event order handling
          3.4.9. Event hub reader limits
          3.4.10. Optimize Streaming Units
          3.4.11. Diagnostics logs
     3.5. Automate
          3.5.1. One-click PowerShell
4. Reference
     4.1. PowerShell
     4.2. .NET
     4.3. Query language
     4.4. REST
5. Resources
     5.1. Azure Roadmap
     5.2. Blog
     5.3. Feedback forum
     5.4. Forum
     5.5. Learning Path
     5.6. Pricing
     5.7. Release notes
     5.8. Service updates
     5.9. Stack Overflow
     5.10. Videos


Tool Description