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. Azure Data Analytics for Developers
    11/21/2016, Mva
  7. Hands-On with Azure Stream Analytics
    9/30/2016, Mva
  8. Deep Dive: Azure Stream Analytics Query Language
    5/28/2015, Video, 0:58:45

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
          3.2.10. JavaScript UDF integration
          3.2.11. REST API & Machine Learning integration
          3.2.12. Use the Management .NET SDK
          3.2.13. Window functions
          3.2.2. 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
     3.3. Manage
          3.3.1. Job reliability
          3.3.2. Monitor jobs
          3.3.3. Diagnostic logs
          3.3.4. Monitor jobs programmatically
          3.3.5. Monitor jobs with PowerShell
          3.3.6. Scale to increase throughput
          3.3.7. Scale for Machine Learning functions
          3.3.8. Rotate input & output credentials
     3.4. Automate
          3.4.1. One-click PowerShell
4. Reference
     4.1. PowerShell
     4.2. .NET
     4.3. Query language
     4.4. REST
5. Resources
     5.1. Release notes
     5.2. Learning Path
     5.3. Pricing
     5.4. Blog
     5.5. Forum
     5.6. Stack Overflow
     5.7. Feedback forum
     5.8. Service updates
     5.9. Videos

Tools

Tool Description

Videos

Date Title Length
3/1/2017 Geospatial Functions in Azure Stream Analytics 0:10:37
2/2/2017 Geospatial Functions in Azure Stream Analytics 0:10:36
12/5/2016 Streaming Analytics on Microsoft Azure 0:08:51
9/30/2016 Hands-On with Azure Stream Analytics 0:51:42
9/29/2016 Gain real time and predictive insights on your Internet of Things 1:09:52
7/13/2016 Advancements in Data Technology 0:29:42
5/19/2016 MyDriving Xamarin & Azure IoT Reference App 0:02:03
4/14/2016 MyDriving Sample Application 0:45:33
4/12/2016 Introducing the Microsoft Azure IoT Suite 0:15:21
11/9/2015 Integrate Azure API Management with Event Hubs 0:07:52

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