A document describes a multi-node Hadoop cluster used for processing large amounts of data. The cluster includes multiple nodes with RAM and HDD storage. It uses a primary and secondary name node to pull transaction logs, merge changes, and store data to HDD. Hadoop provides a cost effective and reliable solution for processing large datasets across standard servers in a parallel and scalable way.

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10. A multi-node Hadoop cluster

12. RAM
HDD
RAM
HDD
1. Pull transaction
log
4.Pus
h
2. Merge
changes
3.Store to HDD
Primary name-node Secondary name node

23. •Cost Saving and efficient and reliable data
processing
•Provides an economically scalable solution
•Storing and processing of large amount of data
•Data grid operating system
•It is deployed on industry standard servers
rather than expensive specialized data storage
systems.
• Parallel processing of huge amounts of data
across inexpensive, industry-standard servers.

25. Contacts: