Perspectives on Big Data and Big Data Analytics

Elena Geanina Ularu (), Florina Camelia Puican (), Anca Apostu () and Manole Velicanu ()
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Elena Geanina Ularu: Phd. Student, Institute of Doctoral Studies Bucharest
Florina Camelia Puican: Phd. Student, Institute of Doctoral Studies Bucharest
Anca Apostu: Phd. Student, Institute of Doctoral Studies Bucharest
Manole Velicanu: Phd. Coordinator, Institute of Doctoral Studies Bucharest

Database Systems Journal, 2012, vol. 3, issue 4, 3-14

Abstract: Nowadays companies are starting to realize the importance of using more data in order to support decision for their strategies. It was said and proved through study cases that “More data usually beats better algorithms”. With this statement companies started to realize that they can chose to invest more in processing larger sets of data rather than investing in expensive algorithms. The large quantity of data is better used as a whole because of the possible correlations on a larger amount, correlations that can never be found if the data is analyzed on separate sets or on a smaller set. A larger amount of data gives a better output but also working with it can become a challenge due to processing limitations. This article intends to define the concept of Big Data and stress the importance of Big Data Analytics.

Keywords: Big Data; Big Data Analytics; Database; Internet; Hadoop project (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (4)

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