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Introduction to Big Data and Business Analytics

Introduction to Big Data and Business Analytics

Dineshkumar Bhagwandas Vaghela
ISBN13: 9781522549994|ISBN10: 1522549994|EISBN13: 9781522550006
DOI: 10.4018/978-1-5225-4999-4.ch015
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MLA

Vaghela, Dineshkumar Bhagwandas. "Introduction to Big Data and Business Analytics." Sentiment Analysis and Knowledge Discovery in Contemporary Business, edited by Dharmendra Singh Rajput, et al., IGI Global, 2019, pp. 279-288. https://doi.org/10.4018/978-1-5225-4999-4.ch015

APA

Vaghela, D. B. (2019). Introduction to Big Data and Business Analytics. In D. Rajput, R. Thakur, & S. Basha (Eds.), Sentiment Analysis and Knowledge Discovery in Contemporary Business (pp. 279-288). IGI Global. https://doi.org/10.4018/978-1-5225-4999-4.ch015

Chicago

Vaghela, Dineshkumar Bhagwandas. "Introduction to Big Data and Business Analytics." In Sentiment Analysis and Knowledge Discovery in Contemporary Business, edited by Dharmendra Singh Rajput, Ramjeevan Singh Thakur, and S. Muzamil Basha, 279-288. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-4999-4.ch015

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Abstract

The term big data has come due to rapid generation of data in various organizations. In big data, the big is the buzzword. Here the data are so large and complex that the traditional database applications are not able to process (i.e., they are inadequate to deal with such volume of data). Usually the big data are described by 5Vs (volume, velocity, variety, variability, veracity). The big data can be structured, semi-structured, or unstructured. Big data analytics is the process to uncover hidden patterns, unknown correlations, predict the future values from large and complex data sets. In this chapter, the following topics will be covered more in detail. History of big data and business analytics, big data analytics technologies and tools, and big data analytics uses and challenges.

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