IDEAS home Printed from
   My bibliography  Save this article

Big Data in the Aerospace Industry


  • Victor Emmanuell BADEA




  • Radu BONCEA



This paper presents the approaches related to the need for large volume data analysis, Big Data, and also the information that the beneficiaries of this analysis can interpret. Aerospace companies understand better the challenges of Big Data than the rest of the industries. Also, in this paper we describe a novel analytical system that enables query processing and predictive analytics over streams of large aviation data.

Suggested Citation

  • Victor Emmanuell BADEA & Alin ZAMFIROIU & Radu BONCEA, 2018. "Big Data in the Aerospace Industry," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 22(1), pages 17-24.
  • Handle: RePEc:aes:infoec:v:22:y:2018:i:1:p:17-24

    Download full text from publisher

    File URL:,%20zamfiroiu,%20boncea.pdf
    Download Restriction: no


    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:aes:infoec:v:22:y:2018:i:1:p:17-24. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Paul Pocatilu). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.