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Efficient and scalable storage of big weather data

Ibenholt, Bendik Segrov
Master thesis
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Ibenholt-Master.pdf (10.45Mb)
Year
2017
Permanent link
http://urn.nb.no/URN:NBN:no-59882

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  • Institutt for informatikk [3603]
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.
 
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