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Stream Analytics

This web-based training course on Stream Analytics functionality, administration and development, is available online to all individuals, institutions, corporates and enterprises in India (New Delhi NCR, Bangalore, Chennai, Kolkatta), US, UK, Canada, Australia, Singapore, United Arab Emirates (UAE), China and South Africa. No matter where you are located, you can enroll for any training with us - because all our training sessions are delivered online by live instructors using interactive, intensive learning methods.

This Stream Analytics online course is aimed at furnishing professionals with important basic and advanced knowledge related to Azure Stream Analytics which is a completely managed service on the cloud. This service provides a tool for analysis of data streams that are changing continuously. As a part of the data services provided by Microsoft Azure, it possesses the ability to ingest millions of events every second from a number of devices such as IoT, computers, sensors, etc. It also equips users with the capability to analyze data generated from such devices and check it for the presence of anomalies and other required information.


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Course Details

Stream Analytics online training is one of the currently most popular ways to capture real-time cloud data. Employees trained in Stream Analytics can carry out several tasks on the Azure Stream Analytics platform, including capture and processing of real-time data, aggregation of data in temporal windows, and monitoring solutions for streaming in Azure. For effective inculcation of knowledge and important concepts, it is ensured that each teaching session is focused not only on theory but also practical implementation of lessons. There are no stiff prerequisites for training in Stream Analytics online.


Overview of Stream Analytics

  • Understanding what Stream Analytics is
  • Creation of an Event Hub
  • Process of creating a job
  • Process of adding inputs
  • Process of adding outputs
  • Method of writing queries
  • How to run a created job
  • Carrying out analysis of a live data stream

Understanding How to Build a Solution

  • Concept of sensor data telemetry
  • Introduction to sentiment analysis
  • Real-time detection of frauds
  • Real-time analysis of traffic

Development in Stream Analytics

  • Learning common patterns of queries
  • How to use reference data
  • Definition of inputs
  • Definition of outputs
  • Concept of language reference
  • Samples from GitHub

Basics of Management and Configuration

  • How to scale a job

Processes of Monitoring and Troubleshooting

  • How to monitor a job
  • Process of configuration of an alert
  • Making use of Operation Logs

Automation in Azure Stream Analytics

  • Method of reference to REST API
  • Method of reference to PowerShell
  • Introduction to PowerShell
  • Method of reference through SDK
  • How to enable monitoring

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