TY - GEN
T1 - Practices and experiences in high volumes of satellite data management
AU - Han, Weiguo
AU - Jochum, Matthew
N1 - Publisher Copyright:
© 2019 IEEE
PY - 2019
Y1 - 2019
N2 - High volumes of satellite data management within an organization is still challenging and daunting in the era of big data. The increasing information technology costs and limited budgets, growing satellite data needs, data availability across multiple teams and projects, strategic goals of organization, and expected project outcomes require better satellite data management mechanism and system to facilitate research and development activities. An organization level centralized satellite data repository is a practical solution to satisfy these requirements. This paper describes the best practices and experiences from building such a central satellite data repository within our organization, including data management strategy and policy, scalable and extensible system infrastructure, comprehensive data management system, and technical support and user assistance. These practices can be borrowed and applied in other organizations with similar requirements.
AB - High volumes of satellite data management within an organization is still challenging and daunting in the era of big data. The increasing information technology costs and limited budgets, growing satellite data needs, data availability across multiple teams and projects, strategic goals of organization, and expected project outcomes require better satellite data management mechanism and system to facilitate research and development activities. An organization level centralized satellite data repository is a practical solution to satisfy these requirements. This paper describes the best practices and experiences from building such a central satellite data repository within our organization, including data management strategy and policy, scalable and extensible system infrastructure, comprehensive data management system, and technical support and user assistance. These practices can be borrowed and applied in other organizations with similar requirements.
KW - Big Data
KW - Central Data Repository
KW - Data Quality
KW - Satellite Data Management
UR - https://www.scopus.com/pages/publications/85094183373
U2 - 10.1109/IGARSS.2019.8900190
DO - 10.1109/IGARSS.2019.8900190
M3 - Conference contribution
AN - SCOPUS:85094183373
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4364
EP - 4367
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Y2 - 28 July 2019 through 2 August 2019
ER -