This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
A Survey on Big Data and Hadoop
Authors
Kawale S. M., Dr. Holambe A. N.
Abstract
The term ‘Big Data’ describes innovative techniques and technologies to capture, store, distribute, manage and analyze larger-sized datasets with high-velocity and different structures. Big data can be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data is generated from various different sources and can arrive in the system at various rates. In order to process these large amounts of data in an inexpensive and efficient way, parallelism is used. Big Data is a data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. Hadoop File System was developed using distributed file system design, HDFS is highly fault tolerant and designed using low-cost hardware. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance.
Keywords- Big Data, Hadoop, HDFS.
Publication Details
Unique Identification Number - IJEDR1801060Page Number(s) - 358-362Pubished in - Volume 6 | Issue 1 | January 2018DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Kawale S. M., Dr. Holambe A. N., "A Survey on Big Data and Hadoop", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 1, pp.358-362, January 2018, Available at :http://www.ijedr.org/papers/IJEDR1801060.pdf
Article Preview
|
|
||||||
|
|
||||||||
