Managing and Monitoring Streaming Solutions in Azure [Video]
This is the code repository for Managing and Monitoring Streaming Solutions in Azure [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
About the Video Course
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.
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
Instructions and Navigation
Assumed Knowledge
To fully benefit from the coverage included in this course, you will need:
Big data developers, data analysts, data scientists, and Azure developers who want to develop a real-time event processing solutions
Technical Requirements
4GB RAM
500GB Hard-disk storage