Big Data Hadoop : Advanced concepts and Components.
3.4 (20 ratings)
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Big Data Hadoop : Advanced concepts and Components.

Prepare yourself for Hadoop Certification
3.4 (20 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
776 students enrolled
Created by Jigar Vora
Last updated 6/2014
English
Current price: $10 Original price: $40 Discount: 75% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 6 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • 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
View Curriculum
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/#/
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

Who is the target audience?
  • Any analyst looking to learn the future technology
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Curriculum For This Course
40 Lectures
07:42:42
+
Introduction:
2 Lectures 07:04
+
Prerequisites
6 Lectures 01:02:18

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
+
HDFS
3 Lectures 23:10
Hadoop Distributed File System (HDFS) Intro
02:48

HDFS Commands part 1
10:10

HDFS Commands Part 2
10:12
+
MAP Reduce
7 Lectures 01:12:02

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
+
Component - HIVE
4 Lectures 44:32

Hive commands using command line interface
14:15

Hive commands (Loading Files into Hive)
10:36

Hive commands (adding Buckets)
08:49
+
Component - Pig
4 Lectures 45:09

Pig Commands using command line interface
14:06

Pig useful Commands
12:52

User Defined Functions in PIG - Using JAVA
07:50
+
Component Sqoop
4 Lectures 36:58

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
+
Component - Flume
3 Lectures 30:18

Flume Configuration
10:21

Flume Twitter Analysis
11:20
+
Component - HBase
3 Lectures 24:55

HBase VS RDBMS
04:42

HBase Commands
07:54
1 More Section
About the Instructor
Jigar Vora
3.5 Average rating
367 Reviews
22,616 Students
8 Courses
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.