Microsoft Azure: Big Data and Analytics Training
HDInsight | Spark | Jupyter | Zappelin | Stream Analytics | Lake Analytics
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.
Goals
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.
Prerequisites
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.

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction to Big Data Certification Exam 06:50 06:50
Welcome to Analytics
5 Lectures

HDInsight
6 Lectures

Streaming Analysis
6 Lectures

Instructor Details

Pranjal Srivastava
SME of AWS & IBM CloudI 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.
Course Certificate
User your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.

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