Survey on Big Data Analytics and Hadoop Tools
Author(s):
Chennupati Vinay Kumar , GITAM School of Technology
Keywords:
Big Data, Hadoop, Map Reduce
Abstract:
Big data is a collection of large data sets that include different types such as structured, unstructured and semi-structured data. This data can be generated from different sources like social media, audios, images, log files, sensor data, transactional applications, web etc. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design an appropriate mining algorithm to find the useful things from big data To process or analyse this huge amount of data or extracting meaningful information is a challenging task now a days. Big data exceeds the processing capability of traditional database to capture, manage, and process the voluminous amount of data.
Other Details:
| Manuscript Id | : | IJSTEV3I7113
|
| Published in | : | Volume : 3, Issue : 7
|
| Publication Date | : | 01/02/2017
|
| Page(s) | : | 186-191
|
Download Article
