STATE-OF-THE-ART RECENT TECHNOLOGIES, BACKGROUND, TERMINOLOGIES, CHALLENGES: A PRELIMINARY SURVEY ON BIG DATA
Main Article Content
Abstract
Big data is a future research area acquiring substantial attention from academia and research communities. In advanced technologies, the extents of data generated and stored have dispersed within a short period of time. In context of big data, traditional data techniques and programs are less coherent. They show a slow responsiveness and lack of scalability, performance and accuracy. Subsequently, fast growing rate of data has created many demanding factors like speedy growth of data, transmission speed, data diverse, security and so on. At this point, distinct types of distributions, technologies, applications and latest trends have been developed. This paper explicitly presents the overall analysis on state-of-the-art big data technologies, background, terminologies, technical challenges and review of current approaches. In addition, future research suggestions in the field of big data are determined based on progress and definite open issues in big data analytics. Therefore research directions facilitate the study of domain with improvement of optimal techniques to expose big data.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
