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1. Hadoop Online Training at S & M
Open Source Hadoop
Tutorial

2. What is Hadoop?
 Hadoop is an open source framework of java with
distributed environment that allows to process a
big data into clusters of computers using simple
programming modules.
Hadoop Online Training at S & M

3. What is Hadoop?
 Using local computation and storage access we
can access single servers to number of machines
in Hadoop.
Hadoop Online Training at S & M

4. What is Big Data
 Big Data is a collection of different datasets that
can’t be processed using a single computation
technique.
 Otherwise it is known as a complete subject
consists of different tolls, frameworks, techniques
etc.
Hadoop Online Training at S & M

5. Big Data Overview
 Big Data consists of several devices and
applications like
Black Box Data
Social Media Data
Stock Exchange Data
Hadoop Online Training at S & M

6. Big Data Overview
 Big Data consists of several devices and
applications like
Power Grid Data
Transport Data
Search Engine Data
Hadoop Online Training at S & M

7. Big Data Overview
 The data Involved in Big Data is of 3 types
Structured Data
Unstructured Data
Semi Structured Data
Hadoop Online Training at S & M

8. Big Data Overview
 In Structured data it includes languages like
Relational Database.
Hadoop Online Training at S & M

9. Big Data Overview
 In semi structured data the language is XML Data
Hadoop Online Training at S & M

10. Big Data Overview
 In unstructured data it includes
Word
PDF
Text
Media
Logs
Hadoop Online Training at S & M

11. Architecture Of Hadoop
 Framework of Hadoop includes following modules
Hadoop
Common
Hadoop
Yarn
HDFS
Hadoop
MapReduce
Hadoop Online Training at S & M

12. Hadoop Common
 Hadoop Common is the first module that
includes Java libraries and utilities for other
modules of Hadoop.
Hadoop Online Training at S & M

13. Hadoop Common
 The Java libraries provides file system and
operating system abstractions along with
Java files and scripts to start the Hadoop
programming module.
Hadoop Online Training at S & M

14. Hadoop Yarn
 This is otherwise known as the cluster
resource management or job scheduling
framework.
Hadoop Online Training at S & M

15. Hadoop Distributed File
System(HDFS)
 Hadoop Distributed File System is a
distributed file system framework that
provides high level access to the application
layer data.
 It is based on Google File System.
Hadoop Online Training at S & M

16. Hadoop MapReduce
 Hadoop MapReduce provides the easy
mapping for parallel processing of large data
sets.
Hadoop Online Training at S & M

17. Benefits Of Hadoop
 The most popular benefit of Haddop because
of which it is adapted by most of the
organizations is its ability to store a huge
amount of data and any kind of data. Let’s
have a look at the important beneficiary points
Hadoop Online Training at S & M

18. Benefits Of Hadoop
Computing
Power
Flexibility
Fault
Tolerance
Low CostScalability
Hadoop Online Training at S & M

19. Computing Power
 The distributed environment nature of Hadoop o
distributed computing module of Hadoop helps to
quickly process Big Data.
 According the computing nodes the processing
power increases.
Hadoop Online Training at S & M

20. Flexibility
 Unstructured data management is the specialty of
Hadoop like we can store as much as data we
want to use later like images, text, videos etc.
Hadoop Online Training at S & M

21. Fault Tolerance
 Data and application processing are
independently running i.e not dependent upon
any hardware failure.
 If any node is not working then automatically the
jobs will be redirected to other nodes in order to
secure the distributed computing
 It automatically stores data.
Hadoop Online Training at S & M

22. Low Cost
 As Hadoop is a open source framework we can
get I without any cost .
Hadoop Online Training at S & M

23. Scalability
 With a little administration we can enlarge our
system by adding more nodes that identifies the
scalability nature of Hadoop.
Hadoop Online Training at S & M

24. Hadoop Online Training at S & M
Consultant