Open AccessA REVIEW STUDY ON BIG DATA ANALYSIS USING R STUDIO
Author(s) -
Savita Savita,
Neeraj Verma
Publication year - 2020
Publication title -
international journal of engineering technologies and management research
Language(s) - English
Resource type - Journals
ISSN - 2454-1907
DOI - 10.29121/ijetmr.v6.i6.2019.402
Subject(s) - big data , data science , computer science , unstructured data , analytics , social media , the internet , business analytics , data analysis , studio , value (mathematics) , world wide web , business model , business , data mining , electronic business , marketing , machine learning , telecommunications
Big Data Analytics is a way of extracting value from these huge volumes of information, and it drives new market opportunities and maximizes customer retention. The rapid rise of the Internet and the digital economy has fuelled an exponential growth in demand for data storage and analytics, and IT department are facing tremendous challenge in protecting and analyzing these increased volumes of information. The reason organizations are collecting and storing more data than ever before is because their business depends on it. The type of information being created is no more traditional database-driven data referred to as structured data rather it is data that include documents, images, audio, video, and social media contents known as unstructured data or Big Data. This paper primarily focuses on discussing the various technologies that work together as a Big Data Analytics system that can help predict future volumes, gain insights, take proactive actions, and give way to better strategic decisionmaking.