A Review Paper on Big Data Analytics Tools

Abstract

Big Data analytics has become the need of the hour for academia, research and IT industry. The exponentially growing digital information is moving at a lightning fast speed over the internet infrastructure and is mainly in the unstructured form including Facebook posts/likes, tweets, blogs, news, articles, YouTube videos, website clicks etc. Everyday billions of people fetch, upload and share information on social media and other platforms through mobile phones, laptops, PDAs. The information comprises of pictures, blobs, goggle map locations, videos, text, voice messages that are collection of structured, unstructured and complex data objects. Traditional data processing techniques are insufficient to handle this enormous, heterogeneous and fast-paced data. E-commerce and
digital marketing has gained so much popularity over these years that business industry has become more dependent on online transactions and services. Big data analytics has proven to be a boon for such an industry as it helps to extract useful patterns and unknown correlations of potential consumer market, client preferences, buying attributes and lot of other information from intricate data sources. This paper aims to provide a detailed review and comparative assessment of latest tools and frameworks used for big data analytics.