PPT FOR INTRACTIVE SESSION ON BIG DATA & HADOOP.

2. OBJECTIVE
At the end of today’s module, we will able to understand:-
 What is Big-data
 What is Hadoop Eco-system & its feature
Is it right time to learn Big data
 Career path through Hadoop & Big-data technologies
 Pre- requities for Hadoop
Job role in Big-data industry
 Complete Course curriculum

6. V’s of Big-Data

7. Definition
 Lots of data (TeraBytes or PetaBytes)
 Big-data is term for a collection of data set so
large & complex that it becomes difficult to
process using on-hand data management
tools or traditional data processing
applications.
 The challenges includes capture, curation,
storage, search, sharing, transfer, analysis and
visualization.

12. Definition-
HADOOP
 Apache hadoop is a framework for the distributed processing
of large data sets across cluster of commodity computers
using simple programming model.
 It is an ecosystem of software packages, including MapReduce,
HDFS, and a whole host of other software packages
 Characteristics:-
 Reliable
 Scalable
 Flexible
 Economical

19. Working
Domain
•Travel
•Retail
•Finance
•Healthcare
•Advertising
•Manufacturing
•Telecommunications
•Life Sciences
•Media and Entertainment
•Natural
•Resources
•Trade and Transportation
•Government

20. Job-Roles

21. Employers

22. Foreca
st

23. Big data Career
Path
Developer/Testing
• Java/Python/Ruby,Scoop
• Hadoop Eco-System |  Big Data Hadoop  PIG  FLUME  Map Reduce Design
• NoSQL DB , PIG SCRIPT |  Apache Spark & Scala Cassandra
• Spark , HIVE, Oozie,Flume |
----------------------------------------------- |
Administration
• Linux Administration
• Cluster Management |
• Cluster Performance |- Linux Administration  Hadoop Admnistraton
• Virtualization |
------------------------------------------------|
Data Analyst
• Statistical Skills
• Machine Learning
• Hadoop Essentials | Data Science  Business Analytics Using R  Talend
For Bigdata
• Expertise in R |  Data Visualization using Tableu
-----------------------------------------------|

24. Course
Curriculum
Module-1 Module-2
 Understanding Big Data & Hadoop  Hadoop Architecutre & HDFS
Module-3 Module-4
 Hadoop MR Framework-I  Hadoop MR Framework-II
Module-5 Module-6
Advance Map Reduce  PIG Latine
Module-7 Module-8
 HIVE  Hbase
Module-9 Module-10
 Zookepar, Oozie  Project

25. THANK YOU!
info@morlingglobal.in