Big Data Hadoop : Advanced concepts and Components.
4.4 (44 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
916 students enrolled

Big Data Hadoop : Advanced concepts and Components.

Prepare yourself for Hadoop Certification
4.4 (44 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
916 students enrolled
Created by Jigar Vora
Last updated 6/2014
English
English [Auto]
Current price: $27.99 Original price: $39.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 6 hours on-demand video
  • 4 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll 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
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 this course is for:
  • Any analyst looking to learn the future technology
Course content
Expand all 40 lectures 07:42:42
+ 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