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- W2892244564 abstract "The term refers to data sets that are not only big but also high in volume, variety and velocity which make them very difficult to handle by traditional data processing techniques. The three Vs (volume, variety and velocity) are responsible to create data sets that grow so large that it becomes awkward to work with data sets using traditional data management techniques. Here, the term volume of the data is its size and how large it is. Velocity refers to the rate with which data is changing and variety includes different formats and types of data as well as different types of uses and ways to analyzing the data. Big data is a data whose scale, distribution and timeliness require new technical architectures and tools in order to handle and extract useful knowledge from these datasets. This useful knowledge adds new insights into the business for decision makers. So, big data analysis is required to gain valuable insights from these large and changing datasets. This paper presents various tools and techniques used to analyze the big data along with various challenges that may be faced while analyzing the big data. Keywords: Big Data, Data Mining, decision making." @default.
- W2892244564 created "2018-09-27" @default.
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- W2892244564 date "2016-01-01" @default.
- W2892244564 modified "2023-10-14" @default.
- W2892244564 title "A Survey on Big Data: Challenges, Tools and Technique" @default.
- W2892244564 doi "https://doi.org/10.26483/ijarcs.v7i6.2768" @default.
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