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Importance of Big Data

Importance of Big Data

Seema Ansari, Radha Mohanlal, Javier Poncela, Adeel Ansari, Komal Mohanlal
ISBN13: 9781466685055|ISBN10: 1466685050|EISBN13: 9781466685062
DOI: 10.4018/978-1-4666-8505-5.ch001
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MLA

Ansari, Seema, et al. "Importance of Big Data." Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, edited by Noor Zaman, et al., IGI Global, 2015, pp. 1-19. https://doi.org/10.4018/978-1-4666-8505-5.ch001

APA

Ansari, S., Mohanlal, R., Poncela, J., Ansari, A., & Mohanlal, K. (2015). Importance of Big Data. In N. Zaman, M. Seliaman, M. Hassan, & F. Marquez (Eds.), Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence (pp. 1-19). IGI Global. https://doi.org/10.4018/978-1-4666-8505-5.ch001

Chicago

Ansari, Seema, et al. "Importance of Big Data." In Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, edited by Noor Zaman, et al., 1-19. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8505-5.ch001

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Abstract

Combining vast amounts of heterogeneous data and increasing the processing power of existing database management tools is no doubt the emerging need of IT industry in coming years. The complexity and size of data sets that need to be acquired, analyzed, stored, sorted or transferred has spiked in the recent years. Due to the tremendously increasing volume of multiple data types, creating Big Data applications that can extract the valuable trends and relationships required for further processes or deriving useful results is quite challenging task. Companies, corporate organizations or be it government agencies, all need to analyze and execute Big Data implementation to pave new paths of productivity and innovation. This chapter discusses the emerging technology of modern era: Big Data with detailed description of the three V's (Variety, Velocity and Volume). Further chapters will enable to understand the concepts of data mining and big data analysis, Potentials of Big Data in five domains i.e. Healthcare, Public sector, Retail, Manufacturing and Personal location Data.

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