Abstract
The term Big Data refers to a large amount of data which is present over the Internet. The size of this data is so large that it cannot be stored, handled, analyzed, and processed by the traditional database systems. This is because when size of data increases, then its complexity also increases. There are various sources which are responsible for generation of Big Data such as news media, social networking sites, business applications, and many more. Efficient management, proper storage, availability, scalability, and processing are some of the issues that create some problems while dealing with Big Data. Thus to handle this Big Data, new techniques, tools, and architecture are required. This paper discusses some tools and techniques that are commonly used for handling Big Data as they overcome the traditional difficulties and open a new way for the researchers to draw their attention toward the tools which can be best chosen for maintenance of Big Data.
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Guwalani, A., Phulwari, G., Singodia, D. (2018). Implementation of Big Data: A Comparative Study. In: Perez, G., Tiwari, S., Trivedi, M., Mishra, K. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 696. Springer, Singapore. https://doi.org/10.1007/978-981-10-7386-1_48
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DOI: https://doi.org/10.1007/978-981-10-7386-1_48
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