Hadoop

 Computer Seminar Topic on Hadoop

Abstract on  Hadoop

Hadoop is a Java software framework that supports data-intensive distributed applications and is developed under open source license. It enables applications to work with thousands of nodes and petabytes of data. The two major pieces of Hadoop are HDFS: Hadoop's own file system. This is designed to scale to petabytes of storage and runs on top of the file systems of the underlying operating systems.

What is Hadoop

Apache™ Hadoop® is an open source software project that enables distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with very high degree of fault tolerance. Rather than relying on high-end hardware, the resiliency of these clusters comes from the software's ability to detect and handle failures at the application layer.

Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative.

Hadoop was inspired by Google's MapReduce, a software framework in which an application is broken down into numerous small parts. Any of these parts (also called fragments or blocks) can be run on any node in the cluster. Doug Cutting, Hadoop's creator, named the framework after his child's stuffed toy elephant. The current Apache Hadoop ecosystem consists of the Hadoop kernel, MapReduce, the Hadoop distributed file system (HDFS) and a number of related projects such as Apache Hive, HBase and Zookeeper.

http://searchcloudcomputing.techtarget.com/definition/Hadoop
http://www-01.ibm.com/software/data/infosphere/hadoop/
http://www.sas.com/en_us/insights/big-data/hadoop.html