4.25 out of 5
4.25
32 reviews on Udemy

Big Data Hadoop : Advanced concepts and Components.

Prepare yourself for Hadoop Certification
Instructor:
Jigar Vora
873 students enrolled
English [Auto-generated]
Learn What is Big Data
How does Different Components behave supportting the concept of Big Data
Use of Each companent in parallel to Hadoop
Learn HDFS , MapReduce , Hive, PIg, Sqoop, Flume and HBASE

Big Data is the new Buzz work connecting the new trends of data analytics. Data management has shifted its focus from an important competency to a critical differentiator that can determine market winners. So to run along with latest trends check out this course to understand basics of Big Data.

Big Data refers to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills and infra- structure to address efficiently. Said differently, the volume, velocity or variety of data is too great.

This course is intended for people who wants to know what is big data.

the course covers what is big data, How hadoop supports concepts of Big Data and how different components like Pig, Hive, sqoop, Hbase, Flume & MapReduce of hadoop support large sets of data Analytics.

Please note:

Couse https://www.udemy.com/overview-of-big-data-hadoop/#/ is a prerequisite to this course and is available for Free on UDEMY

Introduction:

1
Introduction
2
Intro to Hadoop Eco System

Prerequisites

1
Intro To Core Java
2
Intro to Linux & Unix
3
Linux Practicals 1
4
Linux Practical 2
5
Linux Practical 3
6
Intro to Python

Installation

1
Hadoop Installation Part 1
2
Hadoop Installation Part 2

HDFS

1
Hadoop Distributed File System (HDFS) Intro
2
HDFS Commands part 1
3
HDFS Commands Part 2

MAP Reduce

1
Map Reduce Intro
2
Map Reduce - Word Count problem
3
Map Reduce - Word Count code Explianed
4
Map Reduce - Word Count code Explaination continued
5
Map Reduce- Customer Sentiment Analyzer
6
Map Reduce - Word Count with Python
7
Map Reduce - Max temprature problem explained with python

Component - HIVE

1
Hive Introduction
2
Hive commands using command line interface
3
Hive commands (Loading Files into Hive)
4
Hive commands (adding Buckets)

Component - Pig

1
Intro to Pig
2
Pig Commands using command line interface
3
Pig useful Commands
4
User Defined Functions in PIG - Using JAVA

Component Sqoop

1
Sqoop Intro
2
Scoop commands Connecting to SQL and HDFS
3
Scoop commands ( RDBMS to HDFS command conversions)
4
Scoop commands (Export MSQL table into Hive Tables and back to MYSQL)

Component - Flume

1
Flume Intro
2
Flume Configuration
3
Flume Twitter Analysis

Component - HBase

1
Intro to HBase
2
HBase VS RDBMS
3
HBase Commands

Conclusion

1
Conclusion
2
Copy of the presentation I used
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
4.3
4.3 out of 5
32 Ratings

Detailed Rating

Stars 5
10
Stars 4
10
Stars 3
6
Stars 2
2
Stars 1
4
c73600e0eb95ec9908394d0f5ce0273c
30-Day Money-Back Guarantee

Includes

6 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion