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Hadoop Basic Course for Beginners to Professionals (Udemy.com)

Getting Started with Hadoop: An open source framework to handle Big data

4.4
577 reviews

Created by: Edulearners Technologies

Last updated February 2019

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What you will learn

  • Basics of big data
  • History of Hadoop
  • Difference between RDBMS and Hadoop
  • Cluster Modes in Hadoop
  • HDFS Daemons and Mapreduce daemons
  • HADOOP CLUSTER ARCHITECTURE
  • HDFS Commands
  • Combiner & Partitioner
  • Mapreduce

How it compares

Against the other 150 rated Udemy courses in Hadoop on CourseDuck:

  • Rating4.4 out of 5higher than 54% of them
  • Reviews577#63 of 151 by number of reviews
  • Length2.5 hoursshorter than 89% of them
  • Last updatedFebruary 2019earlier than 76% of them

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Course Description

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

This basic course provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.

This course has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course. 

Before you start proceeding with this course, we assume that you have prior exposure to Core Java, database concepts, and any of the Linux operating system flavors.

Read More Beginner Beginner Level product length iconTime: 2.5h

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Instructor Details

Edulearners Technologies

Edulearners originated from the idea that there exists a class of readers who respond better to online content and prefer to learn new skills at their own pace from the comforts of their drawing rooms.

We are working our way to adding fresh courses to our repository which now proudly flaunts a wealth of courses on topics ranging from programming languages to web designing to academics and much more.

Our mission is to deliver Simply Easy Learning with clear, crisp, and to-the-point content on a wide range of technical and non-technical subjects without any preconditions and impediments.


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Reviews

4.4

577 ratings on Udemy

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By 22UG2-0064 Mohammed Musharraff on 6/27/2026

This course was a very good match for me as a beginner. The lessons were clear, simple, and easy to follow. I liked how the course explained Big Data, Hadoop basics, HDFS, MapReduce, cluster architecture, and the Hadoop ecosystem in a short and practical way. The instructor’s explanations were direct and beginner-friendly, which helped me understand the main concepts without feeling confused. Overall, the course was above my expectations and gave me a strong basic understanding of Hadoop.

By VINAYAK TIGADOLLI on 12/7/2021

Overall course was brief and fantastic. The instructor had sliced layers of each and every topics nicely. i like the decency in the speakers voice . a'last the course was worth ...

By Bryan Moreno on 10/25/2021

It has been a nice course, it has solved me several questions.

By Miguel Angel Barceló Sánchez on 11/10/2020

It's interesting to learn from a person who knows Hadoop, but the course could be better if it has English subtitles. As a basic course, it complies. Thanks a lot.

By Marcellus Caldwell on 5/12/2020

Course 18 2.4 HDFS File Read-Write has a lot of static in the audio background. Hard to hear the presenter.

By Beatriz Moral on 4/28/2020

This course has useful information but I expected more about Hadoop Installation. The teacher used a MV from Cloudera that isn't available now, so I couldn't learn anything about this.

By Srinivasulu Chennareddy on 2/11/2019

It was wonderful session & it gives complete picture of hadoop components & its importance in Hadoop ecosystem..over all I am extremely satisfied with the course.

By Ajay Kumar Pandey on 1/21/2019

Its an awesome presentation, specially for people working on Big data technologies.

By Alok Bihari on 10/14/2018

there should be more illustrative presentation for HDFS file writing and reading stages and about splill factor with example .And there should be example for pseudo distributed mode and distributed mode example and examples like how many nodes are needed for when we are using normal file and compressed file eg parquet,sequence.

By Houssam BENBRAHIM on 9/26/2018

j'ai besoin d'un sous-titrage pour chaque védio

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Overall Score : 88 / 100

Hadoop Basic Course for Beginners to Professionals
Visit course on Udemy Write a review
  • Video Duration: icon 2.5h
  • Price: Free
  • Provider: icon Udemy
  • Updated: icon February 2019
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon No

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