A guide to creating an effective big data management framework
Abstract Many agencies and organizations, such as the U.S. Geological Survey, handle massive geospatial datasets and their auxiliary data and are thus faced with challenges in storing data and ingesting it, transferring it between internal programs, and egressing it to external entities. As a result...
Main Authors: | S. T. Arundel, K. G. McKeehan, B. B. Campbell, A. N. Bulen, P. T. Thiem |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-09-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-023-00801-9 |
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