2020Advances in data mining and database management book seriesRequires access

A Walk Through the World of Data Analytics

Manisha Vohra, Bhushan Patil

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Abstract

Data analytics is used to extract necessary information from a given data or data set. It is a concept of technology which can be implemented in various applications and is evolving rapidly. Data analytics analyses the whole data set completely and provides important information from it to the users. In this chapter, a brief description of data analytics is provided. Different types of data analytics are also explained. Along with it, various different aspects of data analytics are described. As the chapter title suggests, this chapter is a brief walk through a brief insight of data analytics is provided in this chapter.

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What this paper is about

Data analytics is used to extract necessary information from a given data or data set. It is a concept of technology which can be implemented in various applications and is evolving rapidly. Data analytics analyses the whole data set completely and provides important information from it to the users. In this chapter, a brief description of data analytics is provided. Different types of data analytics are also explained. Along with it, various different aspects of data analytics are described. As the chapter title suggests, this chapter is a brief walk through a brief insight of data analytics is provided in this chapter.

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Available abstract

Data analytics is used to extract necessary information from a given data or data set. It is a concept of technology which can be implemented in various applications and is evolving rapidly. Data analytics analyses the whole data set completely and provides important information from it to the users. In this chapter, a brief description of data analytics is provided. Different types of data analytics are also explained. Along with it, various different aspects of data analytics are described. As the chapter title suggests, this chapter is a brief walk through a brief insight of data analytics is provided in this chapter.

Key concepts: Analytics, Data analysis, Computer science, Data science, Set (abstract data type), Software analytics, Cultural analytics, Data set

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