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Azure Stream Analytics - Step by Step Guide (DP-200)
Rating: 4.3 out of 5(12 ratings)
95 students

Azure Stream Analytics - Step by Step Guide (DP-200)

Learn how to process real time data using Azure stream analytics. Ideal for Beginners
Created byAmit Navgire
Last updated 6/2021
English
English [Auto],

What you'll learn

  • Azure Stream Analytics

Course content

4 sections • 8 lectures • 1h 52m total length

  • Why Cloud Computing ?7:46
  • What is Cloud Computing ?10:41

    Explore the fundamentals of cloud computing, including public, private, and hybrid clouds, and the core service models IaaS, PaaS, and SaaS, with examples from Azure, AWS, and Google Cloud.

  • What is Azure and How to Create Free Azure Account ?5:53

    Explore Microsoft Azure, a cloud computing service, and its web portal for creating servers, storage, and databases. Open a free account and explore the pay as you go model.

Requirements

  • None

Description

Azure Stream Analytics is a real-time analytics and complex event-processing engine that is designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously.

In this crash course, students will learn the fundamentals of stream analytics and also will learn how to create a stream analytics job to process real time data.

All the topics are covered using practical hands on sessions.

Students preparing for Azure Data Engineer Certification (DP-200 & DP-201) will benefit from this course as all the topics for these exams related to stream analytics are covered in this course.

Who this course is for:

  • Data Engineers, BI Developers, SQL developer

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