Learn Hadoop and Spark analytics

person icon Pranjal Srivastava

Learn Hadoop and Spark analytics

On Microsoft Azure using HdInsights

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Pranjal Srivastava

architecture icon IT & Software,IT certifications,Data Science,Hadoop


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Course Description

In this course, we are going to explore big data, big data analytics and cloud computing on the Microsoft Azure cloud platform.

Here we would be covering all the big data analytics services which are available on Azure. Firstly we would explore HDinsight services where we would go to create clusters and also explore different cluster configurations. Once the cluster is ready we would able to use many big data tools like HDFS, YARN, MapReduce, Hive, Pig and many other tools which come under the Hadoop ecosystem.

Then we would also explore Spark another open-source distributed cluster-computing framework. Spark is a data processing engine developed to provide faster and easy-to-use analytics than Hadoop MapReduce. 

Once you would complete the course you would be able to find which one is better: Hadoop or Spark


Also, we would use different notebooks like Zapelline, Jupyter, etc as wells as a use case of stream analytics


What will you learn in this course:

  • Learn the basics concepts of Big Data.
  • Learn how to use mostly widely used tool for working with big data... Hadoop and Spark
  • Confidently work with various Big Data Analytics services on Microsoft Azure


What are the prerequisites for this course?

  • A basic understanding of cloud computing and big data
Learn Hadoop and Spark analytics


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

5 Lectures
  • play icon Data analytics 08:20 08:20
  • play icon Hdinsight Part-1 05:00 05:00
  • play icon Hdinsight Part-2 12:11 12:11
  • play icon Jupyter 06:39 06:39
  • play icon Zappelin 09:21 09:21
Spark Analysis
1 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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