TY  - JOUR
TI  - Big Data, Technologies and Trends A Study
AU  - Jayamma Rodda
AU  -  R. VijayaKumari
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/10/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT183793
VL  - 3
IS  - 7
SP  - 400	
EP  - 414
AB  - Big Data is the most droned terms among Scholars and trade. Sprouting Big Data applications has become gradually more significant  in the last few  years. In actuality, quiet a few organizations from dissimilar sectors depend all the time more on  knowledge extracted from giant volume of data. The different types of users produce massive quantity of data which is not alike in features. The term of big data is referring big data set coming from various sources  in  the  form  of structure and non structured data. They need to cater to find out the useful information from the massive, noisy data.  However, in Big Data context, traditional data techniques and platforms are  less  efficient. They  show a slow responsiveness and lack  of scalability, performance and accuracy. Big Data aims to help to select and adopt the right combination of different Big Data technologies according to their technological needs and specific applications' requirements. The objective of this paper is to provide a simple, comprehensive and brief introduction of Big Data and its technologies. This paper may not cover every dimension of Big Data only few of  its essential aspects are covered.