Authors: Charanjeet Kaur and  Sumanpreet Kaur

 

Publisher: Zenodo

 
Abstract
 
Big data is a data or data sets so large or complex that traditional data processing applications are inadequate and distributed databases are needed. Firms like Google, eBay, LinkedIn, and Face book were built around big data from the beginning. It is a collection of massive and complex data sets that include the huge quantities of data, social media analytics, data management capabilities, real time data etc. Challenges include sensor design, capture, data curation, sharing, storage, analysis, visualization, information privacy etc. Big data refers to datasets high in variety and velocity, so that very difficult to handle using traditional tools and techniques. The process of research into massive data to reveal secret correlations named as big data analytics. Big Data is a data whose complexity requires new techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it. We need a different platform named Hadoop as the core platform for structuring Big Data, and solve the problem of making it useful for analytics purposes.
 
This article is published under license Creative Commons Attribution 4.0

Illustration Photo: Big Data (CC0 Creative Commons from Pixabay.com)

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