What is hadoop definition and need?
Definition of Hadoop:
Today our data growing so rapidly on internet and these data are unstructured format. The time has come for you to re-check your approach to data storage, data management, and data paralytics.
Hadoop framework for programming:
Hadoop is a free open source, Java-based framework for programming that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.
Hadoop can handle all types of data from disparate systems: structured, unstructured, log files, pictures, audio files, text – just about anything you can think have, regardless of its native format. Furthermore, you can put it all in your Hadoop cluster with no prior need for a schema. In other words, you don’t need to know how you intend to query your data before you store it
What Is Apache Hadoop?
The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing.
Framework that allows for the distributed processing.
It is designed to scale up from single servers to thousands of machines.
Highly-available service on top of a cluster of computers for storing large amount of data.
The Hadoop project includes these modules:
Hadoop Common: The common utilities that support the other Hadoop modules.
Hadoop Distributed File System: A distributed file system that provides high-throughput access to application data.
Hadoop YARN: A framework for job scheduling and cluster resource management.
Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.
HDFS (Hadoop Distributed File System):
Support for POSIX-style filesystem extended attributes. See the user documentation for more details.
Using the OfflineImageViewer, clients can now browse an fsimage via the WebHDFS API.
The NFS gateway received a number of supportability improvements and bug fixes. The Hadoop portmapper is no longer required to run the gateway, and the gateway is now able to reject connections from unprivileged ports.
The SecondaryNameNode, JournalNode, and DataNode web UIs have been modernized with HTML5 and Javascript.