Managing and Monitoring Streaming Solutions in Azure [Video]

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Managing and Monitoring Streaming Solutions in Azure [Video]

Anindita Basak

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

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Video Details

ISBN 139781788470339
Course Length3 hours and 27 minutes

Video Description

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.

Style and Approach

The course is concise and appropriate for evaluating in-depth aspects of building real-world data-centric data processing with Azure Data Platform

Table of Contents

Management and monitoring of Stream Analytics jobs
The Course Overview
Stream Analytics Job Reliability
Monitoring Jobs Programmatically
Scaling a Stream Analytics Job to Increase Throughput
Troubleshooting and Testing of Streaming Jobs
Troubleshooting ASA Jobs
Monitor ASA Jobs Through Azure Portal
Testing Queries in Azure Streaming Analytics
Debugging and Operationalize Streaming Diagnostic Logs
Debugging of Jobs Using ‘SELECT INTO’ Clause
Azure Service Bus Event Order Handling
Optimizing Streaming Units
Operationalize Stream Analytics Job Diagnostic Logs
Build End to End Social Media Analytics Solution with Azure Stream Analysis
Social Media Sentiment Analysis in Real-Time with Solution Architecture
Configuration of Stream Analytics Jobs
Visualize Output for Social Media Sentiment Analysis
Build End to End Real-Time IoT Solution Using Azure Stream Analytics
Real-Time Traffic Analysis in IoT Scenario with Solution Architecture
Setting up Environment for Real-Time IoT Solution
Testing of Streaming Analytics Queries for Real-Time IoT Solution
Implement Real-Time Fraud Detection Using Azure Stream Analytics
Real-World Fraud Detection Analytics with Azure Streaming Analytics
Provision of Azure Stream Analytics Job and its Input Connector
Start of ASA job for Real-Time Event Processing and View Output

What You Will Learn

  • Management and monitoring of Stream Analytics jobs
  • Troubleshooting and Testing of Streaming jobs
  • Debugging streaming diagnostic logs
  • Build end to end social media analytics solutions with Azure Stream Analytics
  • Build end-to-end real-time IoT solutions using Azure Stream Analytics
  • Implement real-time fraud detection using Azure Stream Analytics with Cortana
  • Intelligence Gallery

Authors

Table of Contents

Management and monitoring of Stream Analytics jobs
The Course Overview
Stream Analytics Job Reliability
Monitoring Jobs Programmatically
Scaling a Stream Analytics Job to Increase Throughput
Troubleshooting and Testing of Streaming Jobs
Troubleshooting ASA Jobs
Monitor ASA Jobs Through Azure Portal
Testing Queries in Azure Streaming Analytics
Debugging and Operationalize Streaming Diagnostic Logs
Debugging of Jobs Using ‘SELECT INTO’ Clause
Azure Service Bus Event Order Handling
Optimizing Streaming Units
Operationalize Stream Analytics Job Diagnostic Logs
Build End to End Social Media Analytics Solution with Azure Stream Analysis
Social Media Sentiment Analysis in Real-Time with Solution Architecture
Configuration of Stream Analytics Jobs
Visualize Output for Social Media Sentiment Analysis
Build End to End Real-Time IoT Solution Using Azure Stream Analytics
Real-Time Traffic Analysis in IoT Scenario with Solution Architecture
Setting up Environment for Real-Time IoT Solution
Testing of Streaming Analytics Queries for Real-Time IoT Solution
Implement Real-Time Fraud Detection Using Azure Stream Analytics
Real-World Fraud Detection Analytics with Azure Streaming Analytics
Provision of Azure Stream Analytics Job and its Input Connector
Start of ASA job for Real-Time Event Processing and View Output

Video Details

ISBN 139781788470339
Course Length3 hours and 27 minutes
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