A Survey of Algorithms, Technologies and Issues in Big Data Analytics and Applications

In today’s era, a very large and massive data is generating by different government sectors, private ltd companies, healthcare organizations, etc. A major source of data is social networking sites like Twitter, Facebook, LinkedIn, etc. Several terabytes and petabytes of data are collected by these organizations and companies. Forget analyzing, simply capturing a huge volume of data is impractical. Several reports can be prepared from this data. The process behind this reports preparation is also a challenging task for the software developers. On average, the data capturing technologies are not as sufficient as the data is generated. All the 4V’s of data i.e, Volume, Velocity, Variety, and Veracity are taken into considerations while handling such data. This paper simply focused on several issues like challenges in data, challenges in the process, and challenges in data management. The challenge relates to how to manipulate an impressive volume of data that can reach its destination intact. In short, this work treats all the challenges that Big Data creates. In further studies, we will review some related papers and will suggest some possible solutions to the existing problems. Along with this, some of the used algorithms are surveyed in this study.