IDEAS home Printed from https://ideas.repec.org/a/vrn/katinf/y2019i1p306-313.html
   My bibliography  Save this article

Corporate Big Data and Hybrid Integration Platforms

Author

Listed:
  • Yavor Christov

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

The objective of this paper is to propose an approach to link corporate data from local to external entities, using hybrid integration platforms (HIPs). An evaluation on different integration approaches is made, following a review of HIPs. The study looks at cloud-based applications, enterprise’s partner’s application servers in data centers, and Internet of Things (IoT) devices. An observation of how HIPs helps reducing the costs, complexity and time needed for end-to-end integration process is made. Four phases of digital transformation are presented, following which, business can receive a number of advantages with-out compromising corporate data integrity and security. The presented methodology complements and further develops the proposed hybrid architecture approach to streamline digital transformation in different economic domains.

Suggested Citation

  • Yavor Christov, 2019. "Corporate Big Data and Hybrid Integration Platforms," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 306-313.
    • Handle: RePEc:vrn:katinf:y:2019:i:1:p:306-313
    as

    Download full text from publisher

    File URL: http://informatics.ue-varna.bg/conference19/Conf.proceedings_Informatics-50.years%20306-313.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Hybrid Integration Platforms; Legacy IT Systems; Cloud Con-nectors; Big Data; API Economy;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrn:katinf:y:2019:i:1:p:306-313. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vladimir Sulov (email available below). General contact details of provider: https://edirc.repec.org/data/uevarbg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.