| dc.contributor.author | Ibenholt, Bendik Segrov | |
| dc.date.accessioned | 2017-08-17T22:27:31Z | |
| dc.date.available | 2018-05-11T22:34:05Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Ibenholt, Bendik Segrov. Efficient and scalable storage of big weather data. Master thesis, University of Oslo, 2017 | |
| dc.identifier.uri | http://hdl.handle.net/10852/57141 | |
| dc.description.abstract | This thesis examines how the hadoop-stack can be used to create a database for observational weather data. Hbase was used as a means to store data on HDFS while maintaining relatively short response time for queries. In order to present the data and test different applications a RESTful API using Flask was made. Two different data models, one very compact, and one not, are presented, tested and evaluated along with different pipelines to the data. | nob |
| dc.language.iso | nob | |
| dc.subject | | |
| dc.title | Efficient and scalable storage of big weather data | nob |
| dc.type | Master thesis | |
| dc.date.updated | 2017-08-17T22:27:31Z | |
| dc.creator.author | Ibenholt, Bendik Segrov | |
| dc.identifier.urn | URN:NBN:no-59882 | |
| dc.type.document | Masteroppgave | |
| dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/57141/11/Ibenholt-Master.pdf | |