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Hadoop Presentation - PPT
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
Hadoop Presentation - PPT
Hadoop Presentation - PPT
Hadoop Presentation - PPT
V’s of Big-Data
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.
Hadoop Presentation - PPT
Hadoop Presentation - PPT
Hadoop Presentation - PPT
Hadoop Presentation - PPT
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
Hadoop Presentation - PPT
Hadoop Presentation - PPT
Hadoop Presentation - PPT
Hadoop Presentation - PPT
Hadoop Presentation - PPT
Hadoop Presentation - PPT
Working
Domain
•Travel
•Retail
•Finance
•Healthcare
•Advertising
•Manufacturing
•Telecommunications
•Life Sciences
•Media and Entertainment
•Natural
•Resources
•Trade and Transportation
•Government
Job-Roles
Employers
Foreca
st
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
-----------------------------------------------|
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
THANK YOU!
info@morlingglobal.in

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Hadoop Presentation - PPT

  • 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
  • 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
  • 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