1. SEMINAR ON Guided by: Prof. D.V.Chaudhari Seminar by: Namrata Sakhare Roll No: 65 B.E.Comp

2. Large businesses needed to go through terabytes and petabytes of data. This data was initially control by a single powerful computer. But due to its limitation, it can handle data up to certain limits. To solve this problem, Google publicized MapReduce. MapReduce : A system which supports distributed computing on large data sets on clusters. Many other businesses were facing the same problem of scaling. Therefore, Doug Cutting developed an open source version of MapReduce system called HADOOP.

3. Hadoop is framework of tools. The objective of hadoop is,it supports running application on big data. It is an open source set of tools and distributed under Apache License. It is powerful tool designed for deep analysis and transaction of very large data.

4. The keyword behind hadoop is BIG DATA. Big data facing challenges Velocity Variety Volume Big Data

5. BIG DATA Powerful Computer Processed by BIG DATA Powerful Computer Processing Limits

6. BIG DATA Broken Into Pieces

7. BIG DATA Computation Combined Result

8. MapReduce HDFS Task tracker Name Node Date Node Job Tracker

9. Task tracker Data node Task tracker Data node Name node Task trackerJob tracker Master Slave

10. Task tracker Data node Task tracker Data node Name node Task trackerJob tracker

11. Task tracker Data node Task tracker Data node Name node Task trackerJob tracker Master Slave

12. Task tracker Data node Task tracker Data node

13. Task tracker Data node Task tracker Data node Name node Task trackerJob tracker Master Slave HDFS

14. Task tracker Data node Task tracker Data node Name node Task trackerJob tracker Master Slave MAPREDUCE

15. Task tracker Data node Task tracker Data node Name node Task trackerJob tracker Master Slave Tables are backed up

16. Where the file is located How to manage failures How to break computations into pieces How to program for scaling Don’t have to worry about Programme r

17. Main Features Of Hadoop : Works on distributed model.. :It Works on numerous low cost computer instead of single powerful computer. Linux based set of tools. : It Works On Linux Operating System.

18. Tools Of HADOOP Scoop Flume Oozie Pig Mahout Hbase Hive

19. Yahoo IBM FACEBOOK AMAZON AMERICAN AIRLINES THE NEWYORK TIMES EBAY