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A Systematic Method for Big Data Technology Selection

November 2015 Presentation
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

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.