Hadoop powerpoint presentation

1. J. Sai Krishna and G. Sravya
Lahari
2nd B.Tech (CSE)
K.O.R.M College of Engineering
Kadapa
The solution for Big data
HADOOP

2. Contents
1. Data – trends in storing data.
2. Bigdata – problems in IT industry
3. Introduction to HADOOP
4. HDFS (Hadoop Distributed File System)
5. MapReduce
6. Prominent users of Hadoop.
7. Conclusion

3. Data – trends in storing data
 What is data--- Any real world symbol
(character, numeric, special character) or
a of group of them is said to be data it
may be of the visual or audio or scriptural
,etc
File system
Databases
Cloud (internet)

4. Big data
 What is big data—In IT, it is a collection of data
sets so large and complex data that it becomes
difficult to process using on-hand database
management tools or traditional data processing
applications.
 As of 2012, limits on the size of data sets that are
feasible to process in reasonable time were on
the order of Exabyte of data.

5. BIGDATA and problems with it.
 Daily about 0.5 Petabytes of updates are being made
into FACEBOOK including 40 millions photos.
 Daily, YOUTUBE is loaded with videos that can be
watched for one year continuously
 Limitations are encountered due to large data sets in
many areas, including meteorology, genomics,
complex physics simulations, and biological and
environmental research.
 Also affect Internet search, finance and business
informatics.
 The challenges include in capture, retrieval, storage,
search, sharing, analysis, and visualization.

6. THEN WHAT COULD BE THE
SOLUTION FOR BIGDATA
HADOOP

7. What is Hadoop?
 It is a opensource software written in java
 Hadoop software library is a framework that
allows for the distributed processing of large data
sets across clusters of computers using simple
programming models.
 It is designed to scale up from single servers to
thousands of machines, each offering local
computation and storage.

8. The project includes these modules:
• Hadoop Common
• Hadoop Distributed File System (HDFS)
• Hadoop MapReduce

9. 1.Hadoop Commons
 It provides access to the filesystems supported by
Hadoop.
 The Hadoop Common package contains the
necessary JAR files and scripts needed to start
Hadoop.
 The package also provides source code,
documentation, and a contribution section which
includes projects from the Hadoop Community
(Avro, Cassandra, Chukwa, Hbase, Hive, Mahout,
Pig, ZooKeeper)

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