An Algorithmic Appraoch Applied on Big Data Strategies Using Mapping Techniques

Authors- Research Scholar Shilpa Sharma, Professor (Dr.) R.K. Bathla

Abstract-Big Data has enthralled a lot of attentiveness from academia, ndustry as well as government sectors. We are living n an era when a dangerous amount of data s being generated every day. Data s shaped through many sources like commerce processes, transactions, social networking sites, web servers, etc. and leftovers n well thought-out as well as shapeless form. Processing and extracting a vast amount s data s a demanding task. Big Data refers to technologies and nitiatives that grip data that s too diverse, fast- altering or enormous for conservative technologies, skills and nfrastructure to address efficiently. Big Data size s continually moving target currently ranging from few dozen terabytes to many petabytes n a single data sets. Accurateness n big data may escort to more positive managerial. And better decisions can mean greater functioning efficiency, cost reductions and reduced hazard. Big Data s the newest trend n business and T world right now. Big Data s derived from the datasets nvolved are so bulky that distinctive database systems are not able to store and analyse the datasets. Big Data s a well-liked term used to describe the exponential growth and availability of data, both structured and unstructured. Big Data s defined as the depiction of the progress of human being cognitive processes, regularly ncludes data set with sizes further than the capability of present technology, mode and hypothesis to capture, manage, and process the data within adequate elapsed time. The terms mply Big Data have following properties:

DOI: /10.61463/ijset.vol.13.issue1.107