Microsoft Azure: Big Data and Analytics Training

person icon Pranjal Srivastava

Microsoft Azure: Big Data and Analytics Training

HDInsight | Spark | Jupyter | Zappelin | Stream Analytics | Lake Analytics

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Pranjal Srivastava

architecture icon IT & Software,Microsoft Azure


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Course Description

This course is all about learning various cloud analytics options available on Microsoft Azure cloud platform. We will explore following data analytics services-

HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics, Lake Analytics.

This mentioned azure analytics services help you to get useful insights from such a big data. No matter the data which is going to be analysed is real time or stored somewhere.

But yes this azure analytics services really sought out the things to make business profitable. As today, most companies and organizations want more and more analyst so that they can take steps for the betterment of the process.

So all the bests and get ready to analyse big data.


What will you learn in this course:

  • In this course we would explore various Big Data Analytics services available on Microsoft Azure cloud.
  • We would learn HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics, Lake Analytics, Data Bricks.


What are the prerequisites for this course?

  • A basic understanding of Data Analytics concepts would be more than sufficient, however it is not required to begin with this course.
Microsoft Azure: Big Data and Analytics Training


Check out the detailed breakdown of what’s inside the course

1 Lectures
  • play icon Introduction to Big Data Certification Exam 06:50 06:50
Welcome to Analytics
5 Lectures
6 Lectures
Streaming Analysis
6 Lectures

Instructor Details

Pranjal Srivastava

Pranjal Srivastava

SME of AWS & IBM Cloud

I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.

I have authored 60+ courses on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

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