Assessment of the Various Techniques and the Latest Tools for the Big Data Analytics

Abstract

Big data analytics plays a vital role in today’s environment and a need for the researchers, academicians and industry people. The digital information over the internet is spreading with a very high speed by facebook likes/posts, blogs, tweets, articles, news, website clicks, youtube videos etc in an unstructured form. On the daily basis people around the globe which are in billions fetching, uploading and sharing the information through laptops and mobiles on social media platforms. The data includes structured and unstructured information in the form of blogs, google locations, pictures, videos, voice messages and text etc. The question arises how to process this huge information, because the basic techniques of data processing are not enough to handle the heterogeneous, enormous and Exponential data. Online marketing and E-Commerce has become very famous in recent times because all types of businesses are mostly depend on the online transactions and services provided by the seller. Big data analytics has demonstrated to be an aid for such an industry as it removes valuable examples and obscure connections of potential buyer showcase, customer inclinations, purchasing traits and part of other data from mind boggling information sources. The different problems specified above can be resolved by using latest tools available. This paper focuses to provide detailed information about the latest tools and frameworks which are used for big data analytics with comparative assessment.