Alternatives for Dealing with Big Data

Alternatives for Dealing with Big Data

We have shown that better management of analyst workloads is not a sufficient or long-term solution to the Navy’s big data challenge.¹ To be complete, a solution must involve changes along all of the following four dimensions: people tools and technology data and data architectures demand and demand...

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Bibliographische Detailangaben
Hauptverfasser: Isaac R. Porche, Bradley Wilson, Erin-Elizabeth Johnson, Shane Tierney, Evan Saltzman
Format: Buchkapitel
Sprache:eng
Schlagworte:
Applied arts
Applied sciences
Architectural control
Architecture
Armed forces
Arts
Big data
Cloud computing
Computer operations
Computer science
Data management
Data products
Data types
Datasets
Development studies
Information access
Information management
Information science
Interoperability
Measuring instruments
Metadata
Military science
Navies
Political science
Remote access
Sensors
Social sciences
Technology
Urban development
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Beschreibung
Zusammenfassung:We have shown that better management of analyst workloads is not a sufficient or long-term solution to the Navy’s big data challenge.¹ To be complete, a solution must involve changes along all of the following four dimensions: people tools and technology data and data architectures demand and demand management. This chapter presents alternatives for dealing with big data, beginning with a description of the baseline scenario. Currently, Navy analysts must access data that are stored in a number of discrete, unconnected databases (Figure 5.1; for more-detailed drawings of the baseline and alternatives, see Figure A. 2).² To do this, they