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Perspectives on Big Data and Big Data Analytics

Author

Listed:
  • 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)

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.

Suggested Citation

  • Elena Geanina ULARU & Florina Camelia PUICAN & Anca APOSTU & Manole VELICANU, 2012. "Perspectives on Big Data and Big Data Analytics," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 3(4), pages 3-14, December.
    • Handle: RePEc:aes:dbjour:v:3:y:2012:i:4:p:3-14
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    Citations

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    Cited by:

    1. Anca APOSTU & Florina PUICAN & Geanina ULARU & George SUCIU & Gyorgy TODORAN, 2014. "New Classes of Applications in the Cloud. Evaluating Advantages and Disadvantages of Cloud Computing for Telemetry Applications," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 5(1), pages 3-14, May.
    2. Zhuang Weiqing & Nakamoto Ichiro & Jiang Ming & Wang Morgan C., 2021. "Big Data Analytics in E-commerce for the U.S. and China Through Literature Reviewing," Journal of Systems Science and Information, De Gruyter, vol. 9(1), pages 16-44, February.
    3. Ramona BOLOGA & Razvan BOLOGA & Alexandra FLOREA, 2013. "Big Data and Specific Analysis Methods for Insurance Fraud Detection," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 4(4), pages 30-39, December.
    4. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.

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