Learn Hadoop

Apache Hadoop

Apache Hadoop is, an open-source software framework, written in Java, by Doug Cutting and Michael J. Cafarella, that supports data-intensive distributed licensed under the Apache v2 license. It supports of applications on large clusters of commodity hardware. Hadoop was derived from Google's MapReduce and Google File System (GFS) papers.

The name "Hadoop" was given by Doug Cutting's, he named it after his son's toy elephant. Doug used the name for his open source project because it was easy to pronounce and to Google.The Hadoop framework transparently provides both reliability and data motion to applications. Hadoop implements a computational paradigm named MapReduce, where the is divided into many small of work, each of which may be executed or re-executed on any node in the cluster. It provides a distributed file system that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster. Both reduce and the distributed file system are designed so that node failures are automatically handled by the framework. It enables applications to work with thousands of computation-independent computers and petabytes of data. The entire Apache Hadoop platform is commonly considered to consist of the Hadoop kernel, MapReduce and Hadoop Distributed File System (HDFS), and number of related projects including Apache Hive, Apache HBase, Apache Pig, Zookeeper etc.

Before you start proceeding with this hadoop, you should have prior exposure to Core Java, database concepts, and any of the Linux operating system flavors.