• P. Dileep Kumar Reddy
• B. Muni Lavanya

Big Data is one of the most emerging field in computer science, and a broad area for analyzing, pre-processing and visualizing the large amount of data. In today’s world, large volume of data is generating day by day and handling this type of data is too critical. Data with large volume, variety and veracity is generated. The existing methods worked on performance analysis but the result is not much optimized. This paper objective is to improve the performance of big data processing and in parallel it allows to consume less power. The techniques of parallel computing is introduced for increasing performance as well as reduction in power consumption. This kind of techniques allows system to process data in parallel and simultaneously visualizing the big data for business decisions. This is one of the major challenge facing with big data in real time scenarios like data centers and social media servers.

Big Data, Parallel Computing, Performance, Power Consumption, Pre-Processing

"Efficient Data Processing for Balancing Performance and Power Consumption with Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.269-272, April-2018, Available :http://www.jetir.org/papers/JETIR1804052.pdf

"Efficient Data Processing for Balancing Performance and Power Consumption with Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp269-272, April-2018, Available at : http://www.jetir.org/papers/JETIR1804052.pdf