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Managing and Monitoring Streaming Solutions in Azure

Video Description

Understand the development aspects of Azure Stream analytics to build real-time event processing solutions

About This Video

  • Leverage a fully-managed, scalable, real-time event processing engine to unlock deep insights from data
  • Utilize the Azure Intelligent data platform to manage and monitor real-world data processing in Azure
  • Implement a simple, declarative model to build real-time data transformations applicable to processing IoT streams, real-time data analysis, and more

In Detail

This course will give you a good understanding of the development aspects of Azure Stream analytics to build real-time event processing solutions. The course mainly focuses on monitoring scaling aspects to increase throughput in your streaming jobs and supplies a varied troubleshooting guide for big data developers/architects. The course provides end-to-end demonstrations for solutions to real-world business problems related to Internet of Things and fraud detection scenarios with the help of Microsoft Cortana Intelligence Gallery.

Table of Contents

  1. Chapter 1 : Management and monitoring of Stream Analytics jobs
    1. The Course Overview 00:06:28
    2. Stream Analytics Jobs Reliability 00:08:25
    3. Monitoring Jobs Programmatically 00:19:21
    4. Scaling a Stream Analytics Job to Increase Throughput 00:13:26
  2. Chapter 2 : Troubleshooting and Testing of Streaming Jobs
    1. Troubleshooting ASA Jobs 00:10:15
    2. Monitor ASA Jobs Through Azure Portal 00:10:18
    3. Testing Queries in Azure Streaming Analytics 00:11:36
  3. Chapter 3 : Debugging and Operationalize Streaming Diagnostic Logs
    1. Debugging of Jobs Using 'SELECT INTO' Clause 00:10:13
    2. Azure Service Bus Event Order Handling 00:10:15
    3. Optimizing Streaming Units 00:11:16
    4. Operationalize Stream Analytics Job Diagnostic Logs 00:13:40
  4. Chapter 4 : Build End to End Social Media Analytics Solution with Azure Stream Analysis
    1. Social Media Sentiment Analysis in Real-Time with Solution Architecture 00:05:55
    2. Configuration of Stream Analytics Jobs 00:09:05
    3. Visualize Output for Social Media Sentiment Analysis 00:09:27
  5. Chapter 5 : Build End to End Real-Time IoT Solution Using Azure Stream Analytics
    1. Real-Time Traffic Analysis in IoT Scenario with Solution Architecture 00:07:58
    2. Setting up Environment for Real-Time IoT Solution 00:08:18
    3. Testing of Streaming Analytics Queries for Real-Time IoT Solution 00:12:39
  6. Chapter 6 : Implement Real-Time Fraud Detection Using Azure Stream Analytics
    1. Real-World Fraud Detection Analytics with Azure Streaming Analytics 00:08:04
    2. Provision of Azure Stream Analytics Job and its Input Connector 00:08:20
    3. Start of ASA job for Real-Time Event Processing and View Output 00:12:25