Data Analytics Scope in bigdata – Data premutation

Data Analytics Scope in bigdata - Data premutation

Vidya Vijayan1, Deepthy S2,

1FComputer Science and Engineering Department, ITM Vocational University, Waghodia

2Computer Science and Engineering Department, Baselios Mathews II College of Engineering, Sasthamcotta

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Abstract - MentionIn the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets. Furthermore, decision makers need to be able to gain valuable insights from such varied and rapidly changing data, ranging from daily transactions to customer interactions and social network data. Such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper aims to analyze some of the different analytics methods and tools which can be applied to big data, as well as the opportunities provided by the application of big data analytics in various decision domains.

Key Words:  Data Analysis, Data Preparation, Data Analysis Methods, Data Analysis Types, Descriptive Analysis,

Explanatory Analysis