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Hadoop and Spark Analytics Training

person icon Pranjal Srivastava

4.2

Hadoop and Spark Analytics Training

In this course, explore big data, big data analytics, and cloud computing on the Microsoft Azure cloud platform

updated on icon Updated on Oct, 2024

language icon Language - English

person icon Pranjal Srivastava

English [CC]

category icon Development ,Data Science,Big Data

Lectures -13

Duration -1 hours

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4.2

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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 will be covering all the big data analytics services that 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 will able to use many big data tools like HDFS, YARN, MapReduce, Hive, Pig and many other tools that 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 complete the course you will 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.

Goals

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

Prerequisites

  • A basic understanding of cloud computing and big data.
Hadoop and Spark Analytics Training

Curriculum

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

HDInsight
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
Tutorialspoint
Streaming Analysis
6 Lectures
Tutorialspoint

Instructor Details

Pranjal Srivastava

Pranjal Srivastava

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

I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

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