| Title: | Big data from space, a broad view of status and future |
| Authors: | Juan Tan, Author |
| Material Type: | ISU Individual Project |
| Publisher: | Illkirch-Graffenstaden (France) : International Space University, 2017 |
| Format: | 1 electronic resource (37 p.) / col. ill. |
| Bibliography note: | Includes bibliographical references |
| Languages: | English |
| Description: | In this report, we address key topics on big data from space about the status and future development using the system engineering method. With thorough research and study, we have found following outcomes from this project. First, we summarized space data, including operation data and mission data, on their sources, access way, characteristics of 5v’s and application models based on the concept of big data, as well as the challenges they faced in application. Second, we gave proposals on platform design and architecture to meet the demand and challenges on space data application. It has taken into account of features of space data and their application models. It emphasizes high scalability and flexibility in the aspects of storage, computing and data mining. Thirdly, we suggested typical and promising practices for space data application, that showed valuable methodologies for improving intelligence on space application, engineering and science. At last, we analyzed the future trends of big data from space and inspired application on interdisciplinary and international scale. |
| ISU program : | Master of Space Studies |
| Format : | Online |
| Permalink: | https://isulibrary.isunet.edu/index.php?lvl=notice_display&id=10173 |
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 Tan, Juan_IPR (1.63MB) Adobe Acrobat PDF |
