A Survey on Big Data: Challenges, Tools and Technique

Buta Singh, Satish Kumar,Gagandeep Kaur, Mehakdeep Kaur


The term "Big Data" 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.

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DOI: https://doi.org/10.26483/ijarcs.v7i6.2768


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