A Survey on Some Big Data Applications Tools and Technologies
Nazia Tazeen1, K.Sandhya Rani2

1Nazia Tazeen, Department of Computer Science & Engineering, Sri Padmavathi Mahila Viswa Vidyalayam, Tirupati, India.
2K.Sandhya Rani, Department of Computer Science & Engineering , Sri Padmavathi Mahila Viswa Vidyalayam, Tirupati, India. 

Manuscript received on March 22, 2021. | Revised Manuscript received on March 26, 2021. | Manuscript published on March 30, 2021. | PP: 239-242 | Volume-9 Issue-6, March 2021. | Retrieval Number: 100.1/ijrte.F5575039621 | DOI: 10.35940/ijrte.F5575.039621
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Big Data is a broad area that deals with enormous chunks of data sets. It is a word for enormous data sets having huge volume, more diverse structures of data originating from diverse sources are growing rapidly. Many data being generated because of fast data transmission between devices concerning different sectors like healthcare, science, media, business, entertainment and engineering. Data collection capacity and its storage is big concern. Apache Hadoop software is a store of accessible source programs to store big data and perform analytics and various other operations related to big data. Many organizations base their decisions by extracting knowledge from huge and complex data, because of this prime cause of decision making, Big Data has to be accurately classified and analyzed. In order to overcome the complex challenges encountered by Big Data, various Big Data tools and technologies have developed. Big Data Applications, tools and technologies used to handle it are briefly discussed in this paper.
Keywords: Big Data, Veracity, Hadoop, structured data, unstructured data