Research on Advanced Streaming Processing on Apache Spark
Publish place: International Journal of Industrial Engineering & Production Research، Vol: 32، Issue: 1
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJIEPR-32-1_011
تاریخ نمایه سازی: 10 اسفند 1399
Abstract:
The Today’s digital world computations are tremendously difficult and always demands for essential requirements to significantly process and store enormous size of datasets for wide variety of applications. Since the volume of digital world data is enormous, this is mostly generated unstructured data with more velocity at beyond the limits and double day by day. In last decade, many organizations have been facing major problems to handling and process massive chunks of data, which could not be processed efficiently due to lack of enhancements on existing and conventional technologies. In this paper address, how to overcome these problems as efficiently by using the most recent and world primary powerful data processing tool, which is hadoop clean open source and one of the core component called Map Reduce, but which has few performance issues. This paper main goal is address and overcome the limitations and weaknesses of Map Reduce with Apache Spark.
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Authors
A.K.V.K Sasikanthr
Department of CSE, GITE, Rajahmundry, A.P, India
K. Samatha
Department of CSE, JNTUK, Kakinada, A.P, India
N. Deshai
Department of IT, SRKREC, Bhimavaram, A.P, India,
B.V.D.S Sekhar
Department of IT, SRKREC, Bhimavaram, A.P, India,
S. Venkatramana
Department of IT, SRKREC, Bhimavaram, A.P, India,