Toward Big Data Various Challenges and Trending Applications

With  the continuous growth in the data and its use as a resource for analytic knowledge continues to help companies develop, the need for innovative approaches, tools, and strategies to extract actionable insights is becoming increasingly important. The data collected from myriad sources like social media, search engines, and the Internet of Things has developed substantial opportunities concerning the business to business industrial organizations. Big data (BD) computing is classified as batch and stream computing based on the processing types. Batch computing is performed when data is at rest, whereas real-time computing is performed when data is in motion. In the present era, real-time stream processing is in demand as the massive data generated has to be handled speedily to meet the business or organization requirements. BD analytics is used to get the big insight from this data. However, cleansing, interpreting, and analyzing such massive databases present hurdles in marketing, particularly in terms of making real-time decisions. This paper throws light on the various issues and challenges associated to BD. Most of the challenges are associated to the preprocessing phase of BD. It also presents the diverse applications of BD.