Software Engineering Institute | Carnegie Mellon University
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Presentation

A Systematic Method for Big Data Technology Selection

  • November 2015
  • By John Klein
  • This talk discusses why prototyping is necessary for evaluating big data technology and how the LEAP4BD method provides a systematic framework for technology evaluation.
  • Publisher: Software Engineering Institute
  • This presentation was created for a conference series or symposium and does not necessarily reflect the positions and views of the Software Engineering Institute.
  • Abstract

    When the DOD-VA Interagency Program Office (IPO) needed to make architecture tradeoffs for their Integrated Electronic Health Record (iEHR) architecture, they asked the Army Telemedicine and Advanced Technology Research Center (TATRC) and the SEI to evaluate the suitability of NoSQL technology for this big data application. The SEI created the Lightweight Evaluation and Prototyping for Big Data (LEAP4BD) method and worked with TATRC's Advanced Concepts Team to perform a technology evaluation.

    This talk discusses why prototyping is necessary for evaluating big data technology and how the LEAP4BD method provides a systematic framework for technology evaluation, and it presents a sample of the results we delivered to the IPO.

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