The document summarizes Hadoop HDFS, which is a distributed file system designed for storing large datasets across clusters of commodity servers. It discusses that HDFS allows distributed processing of big data using a simple programming model. It then explains the key components of HDFS - the NameNode, DataNodes, and HDFS architecture. Finally, it provides some examples of companies using Hadoop and references for further information.

1. BE Seminar Topic on-
HADOOP HDFS
Presented By – SUDIPTA GHOSH (2010-3016)
University Institute Of Technology , Burdwan University

2. What is Big Data ?

3. Why DFS ?

4. What is Hadoop ?
Apache Hadoop is a framework that allows for
the distributed processing of large data sets
across clusters of commodity computers using
a simple programming model.

5. Companies using Hadoop
 Yahoo
 Google
 Facebook
 Amazon
 AOL
 IBM
 LinkedIn
 And many more at
http://wiki.apache.org/hadoop/PoweredBy

6. What is HDFS ?
• HDFS – Hadoop Distributed File System
• HDFS is a file system designed for storing very
large files with streaming data access patterns,
running clusters on commodity hardware.

7. Why HDFS ?
–
–
–
–
–
Highly fault-tolerant
High throughput
Suitable for applications with large data sets
Streaming access to file system data
Can be built out of commodity hardware

8. Main Components Of Hadoop :
Name Node:
 master of the system
 maintains and manages the blocks which are
present in the data node
Data Nodes:
 Slaves which are deployed in each machine and
provide the actual storage
 Responsible for serving read and write requests
for the client

9. HDFS Architecture

10. Job Tracker

11. Job Tracker( Contnd.)

12. Running Jobs On Hadoop

13. Areas Where Hadoop Is Not A Good Fit
Today :
• Low-Latency data access
• Lots of small files
• Multiple writers, arbitrary file modifications

14. References
1. http://hadoop.apache.org/core/docs
2. https://www.youtube.com/watch?v=A02SRd
yoshM

15. THANK YOU