TRMC Big Data Analytics Implementation Guide
Abstract
An enterprise approach for knowledge management and big data analytics will provide for more robust and reliable test data storage, greater discoverability and accessibility to this test data, and significantly improved ability to perform large-scale data analyses upon this test data. This results in improved test and evaluation of DoD weapon systems and hence better weapon systems for the warfighter. An effective enterprise approach requires a well-designed implementation that is agile, sustainable, and affordable. All test ranges will benefit from guidance on and evaluation tools for TRMC Big Data Analytics Architecture implementations. The purpose of this document is to provide high-level implementation guidance for Test and Evaluation Big Data Analytics and Knowledge Management (T and E BDA-KM) software solutions that are based upon the Test Resource Management Center (TRMC) Knowledge Management and Big Data Analytics Architecture (BDAA) Framework as documented in the TRMCs Knowledge Management and Big Data Analytics Architecture Framework. For simplicity of reference, the above publication will be referred to in this document as the TRMC BDAA. As an important point of clarification, this implementation guidance only addresses T and E BDA-KM software solutions based upon the TRMC BDAA. Furthermore, this implementation guidance only identifies high-level key characteristics, and more specifically the top five key characteristics, of these software solutions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2022
- Accession Number
- AD1183680