Open AccessA Review of Algorithms and Techniques for Analyzing Big Data
Publication year - 2021
Publication title -
international journal of emerging trends in engineering research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 14
ISSN - 2347-3983
DOI - 10.30534/ijeter/2021/14962021
Subject(s) - big data , terabyte , computer science , data science , geospatial analysis , leverage (statistics) , social media , variety (cybernetics) , world wide web , data mining , artificial intelligence , geography , cartography , operating system
Big data isgenerated from a variety of sources.Data sets can grow rapidly: for instance, social media such as Facebook, Instagram, and Twitter generate terabytes of data every day. Desktop computers andlaptopsgenerate tremendous amountsof data. Geospatial data aregenerated by cell phones and even from satellites. IoT (Internet of Things) devices like sensorsandpocket computers are also generating a massive amount of data. “Big data”generatestremendous attention worldwide. This paper aims to provide a more comprehensive description of big data that captures its other specific and distinguishing characteristics, which metrics describe the size and other characteristics of big data, and which tools and technologies exist to leverage the potential of big data