Big Data Hadoop : Advanced concepts and Components.

Prepare yourself for Hadoop Certification
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  • Lectures 40
  • Length 7.5 hours
  • Skill Level Intermediate Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 6/2014 English

Course Description

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

What are the requirements?

  • knowledge of SQL is required : try https://www.udemy.com/mysql-database-for-beginners2/?dtcode=k6gt8d79
  • some knowledge of JAVA , Linux and Python may be required but are explained in detail within the course.
  • Please register for the big data overview of Hadoop : https://www.udemy.com/overview-of-big-data-hadoop/#/

What am I going to get from this course?

  • 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

What is the target audience?

  • Any analyst looking to learn the future technology

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction:
Introduction
Preview
02:07
Intro to Hadoop Eco System
Preview
04:57
Section 2: Prerequisites
Intro To Core Java
Preview
13:03
Intro to Linux & Unix
05:39
Linux Practicals 1
12:55
Linux Practical 2
15:01
Linux Practical 3
10:31
Intro to Python
05:09
Section 3: Installation
Hadoop Installation Part 1
Preview
13:19
Hadoop Installation Part 2
Preview
11:01
Section 4: HDFS
Hadoop Distributed File System (HDFS) Intro
02:48
HDFS Commands part 1
10:10
HDFS Commands Part 2
10:12
Section 5: MAP Reduce
Map Reduce Intro
Preview
11:39
Map Reduce - Word Count problem
08:41
Map Reduce - Word Count code Explianed
10:54
Map Reduce - Word Count code Explaination continued
15:01
Map Reduce- Customer Sentiment Analyzer
03:35
Map Reduce - Word Count with Python
13:01
Map Reduce - Max temprature problem explained with python
09:11
Section 6: Component - HIVE
Hive Introduction
Preview
10:52
Hive commands using command line interface
14:15
Hive commands (Loading Files into Hive)
10:36
Hive commands (adding Buckets)
08:49
Section 7: Component - Pig
Intro to Pig
Preview
10:21
Pig Commands using command line interface
14:06
Pig useful Commands
12:52
User Defined Functions in PIG - Using JAVA
07:50
Section 8: Component Sqoop
Sqoop Intro
Preview
04:37
Scoop commands Connecting to SQL and HDFS
10:07
Scoop commands ( RDBMS to HDFS command conversions)
11:07
Scoop commands (Export MSQL table into Hive Tables and back to MYSQL)
11:07
Section 9: Component - Flume
Flume Intro
Preview
08:37
Flume Configuration
10:21
Flume Twitter Analysis
11:20
Section 10: Component - HBase
Intro to HBase
Preview
12:19
HBase VS RDBMS
04:42
HBase Commands
07:54
Section 11: Conclusion
Conclusion
01:56
Copy of the presentation I used
90 pages

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Instructor Biography

Jigar Vora, Planning Manager at Panasonic

I have a degree of Masters in Computer science and currently work as a Planning manager in the field of Logistics for a $10 billion dollar company.

I have number of years of experience working with Directors and Vice Presidents of companies presenting them alternate solutions to optimize their supply chain network.

I also own a consulting firm Aarya Global Services currently providing consulting services for supply chain network planning and Optimization to various companies.

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