An Analysis of Big Data Analytics Techniques

Big data is structured, semi structured or unstructured large quantity of data amounting to petabytes or exabytes of data. The data can be mined to extract information. The big data can be usually referred by 3Vs which is volume, variety and velocity. The analysis of data can be done by storing it in a platform like hadoop and framework like mapreduce to process data The data is stored as large data sets. Big data analytics is the process of examining this data sets to retrieve business information. This paper compares and contrast different data analytics techniques such as text analytics, audioanalytics, videoanalytics, social media analytics and predictive analytics. This paper also discusses applications of big data analytics. This paper proposes methods of improving big data analytics techniques.