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Distributed Parallel Architecture for "Big Data"

Author

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  • Catalin BOJA
  • Adrian POCOVNICU
  • Lorena BATAGAN

Abstract

This paper is an extension to the "Distributed Parallel Architecture for Storing and Processing Large Datasets" paper presented at the WSEAS SEPADS’12 conference in Cambridge. In its original version the paper went over the benefits of using a distributed parallel architecture to store and process large datasets. This paper analyzes the problem of storing, processing and retrieving meaningful insight from petabytes of data. It provides a survey on current distributed and parallel data processing technologies and, based on them, will propose an architecture that can be used to solve the analyzed problem. In this version there is more emphasis put on distributed files systems and the ETL processes involved in a distributed environment.

Suggested Citation

  • Catalin BOJA & Adrian POCOVNICU & Lorena BATAGAN, 2012. "Distributed Parallel Architecture for "Big Data"," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 16(2), pages 116-127.
    • Handle: RePEc:aes:infoec:v:16:y:2012:i:2:p:116-127
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    Citations

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    Cited by:

    1. Shahriar Akter & Samuel Fosso Wamba, 2016. "Big data analytics in E-commerce: a systematic review and agenda for future research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 173-194, May.
    2. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
    3. Abhishek Behl & Pankaj Dutta & Stefan Lessmann & Yogesh K. Dwivedi & Samarjit Kar, 2019. "A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach," Information Systems and e-Business Management, Springer, vol. 17(2), pages 285-318, December.
    4. Yasser AL-HADAD & Razvan Daniel ZOTA, 2016. "Implementing Business Intelligence System - Case Study," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 7(1), pages 35-44, August.
    5. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    6. Daniel HOMOCIANU & Dinu AIRINEI, 2015. "Some Behavioral Considerations on the GPS4GEF Cloud-Based Generator of Evaluation Forms with Automatic Feedback and References to Interactive Support Content," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 19(3), pages 19-31.

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