Open AccessBIGDATA AND ITS APPLICATIONS
Author(s) -
M Aparna
Publication year - 2021
Publication title -
international journal for innovative engineering and management research
Language(s) - English
Resource type - Journals
ISSN - 2456-5083
DOI - 10.48047/ijiemr/v10/i09/32
Subject(s) - big data , computer science , phone , cloud computing , the internet , data science , landline , set (abstract data type) , world wide web , data mining , linguistics , philosophy , programming language , operating system
Technology has changed a lot in this digital era. Earlier we had landline phones but nowwehave Smartphones, Laptops and Tablets that are making our life smarter. We wereusingbulky desktops for processing huge amounts of data, we were using floppies and harddisksto store the data earlier. Now we can store data in the cloud. Due to the enhancementoftechnologyweweregeneratingalotofdata,forexampleeachsmartphoneuserapproximatelygenerates 40 Exabyte’s of data every month in the form of texts, emails,phone calls, videos,photos, searches, music, etc., if this number is multiplied by 5 billionsmartphone users, thatis a large amount. Traditional computing systems cannot handle thislarge amount of data.You have no idea about how much data you are generating ineachminute.Butthechallengingparthereisthatthedataisnotpresentinastructuredmannerand it ishuge in size. Data is being generated in millions of ways and it is one of the biggestfactorsfor the evolution of Big Data. With the exponential growth of the data, people startedto storeit in relational database systems. But with the advancements in the internet anddigitalization,they are insufficient. In order to overcome this, big data came into the picture.This BigData.Provides a new set of tools and technologies to store a large amount ofunstructureddata.Industryinfluencers,academicians,and other prominent stakeholders agree that Big Datahasbecome a big game-changer in most industries. The primary goal for most organizationsis toenhance customer experience, cost reduction, better-targeted marketing, andmakingexistingprocessesmoreefficient.Inthispaper,welookintothevariousapplicationsthatBigData offers to the industries, Industry-specific challenges that these industries face, andhowBig Data solves these challenges.