Hadoop Basic Course for Beginners to Professionals

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

4.35 (565 reviews)
Udemy
platform
English
language
Development Tools
category
Hadoop Basic Course for Beginners to Professionals
17,390
students
2.5 hours
content
Feb 2019
last update
FREE
regular price

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

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.

Content

Module 1 Introduction to Big data & Hadoop

1.1 What is Big data
1.2 Facts about Big Data
1.3 Big Data Scenarios
1.4 Apache Hadoop framework
1.5 Hadoop Users
1.6 Hadoop History
1.7 Difference between RDBMS and Hadoop
1.8 Cluster Modes in Hadoop
1.9 Hadoop Ecosystem
1.10 HDFS Daemons and Mapreduce daemons
1.11 Hadoop Cluster Architecture
1.12 Learning Hadoop
1.13 Hadoop Distributions and Compatibilities
1.14 Hadoop Ecosystem in detail

Module 2 Introduction to HDFS (Hadoop Distributed File System)

2.1 Hadoop Distributed File System
2.2 HDFS Files and Blocks
2.3 HDFS Components and Architecture
2.4 HDFS File Read-Write
2.5 Installation of Apache Hadoop

Module 3 Basics of Mapreduce Model

3.1 Mapreduce
3.2 Map-Reduce Operation
3.3 Map-reduce Example
3.4 HDFS Input Splits
3.5 Mapreduce Architecture
3.6 Combiners
3.7 Partitioner
3.8 Shuffling and Sorting in Hadoop

Module 4 Hadoop Installation & Practical

4.1 cdh 5.2 Installation
4.2 HDFS Commands part-1
4.3 HDFS Commands part-2
4.4 HDFS Commands part-3

Reviews

Andrés
March 19, 2022
Please speed up the installation part! Instead of reading the commands you will type, and then type them, you could explain the motivation for them, and the just type them without reading. And use up-arrow to not write all over every time. Please include the commands to run a simple MapReduce job.
VINAYAK
December 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 ...
Camilo
July 26, 2021
The last section didnt even teach how to run a mapreduce task, it only showed how to run linux commands in hadoop. If the course were to fully acknowledge that this is just an introductory course where you will ONLY learn the theory behind hadoop, it wouldnt be that bad, but the "... to Professionals" part of the title is super deceiving. I know that a single course would hardly make you a professional in one topic, but in the case of this course you dont even learn how to run the most basic of operations so that you can continue learning on your own
Ileana
March 31, 2021
I liked the course, I consider it a good synthesis of the domain and I recommend it. I would have enjoyed more examples, to help me better understand the topic.
Miguel
November 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.
Amey
August 16, 2020
Course was good. My suggestion is points which you explain by speaking those points should also be presented in the videos.
Amullya
July 8, 2020
The course content is good but it feels like someone is just reading out the material loudly and not explaining it.
Fahad
June 29, 2020
Could've been explained better. Many times it was just reading what was in the slides. None the less, was a great course for beginners. Thanks!
Marcellus
May 12, 2020
Course 18 2.4 HDFS File Read-Write has a lot of static in the audio background. Hard to hear the presenter.
Beatriz
April 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.
Sam
August 20, 2019
The introduction to big data was excellent, but the other 3 sections didn't provide a cohesive, digestible lesson about Hadoop. It seemed unnecessary to video the slow download and zip extraction of files.
Srinivasulu
February 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.
Maria
January 17, 2019
The speech speed by the instructor could be little slow to understand better for the beginners. Also, the explanation for the new terms could be more elaborative . Audio had some disturbance noise in one of the lessons. Most of the videos are not clear, blurry display. Not sure what I learned from this course.
Denys
November 8, 2018
just use a speech engine or hire some native speaker to read the text. It's hard to understand your accent
Alok
October 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.

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Related Topics

1670796
udemy ID
5/1/2018
course created date
8/11/2019
course indexed date
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