This master thesis project investigates present non-traditional and established databasetechnologies for dealing with sensor-based high frequency monitoring in environmental scienceresearch. Starting on a small scale with limited system resources, this work aims to serve as astarting point and inspiration for tackling problems of "Big Data" magnitude.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-494361 |
| Date | January 2023 |
| Creators | Enderskog, Marcus |
| Publisher | Uppsala universitet, Institutionen för informationsteknologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC IT, 1401-5749 ; 23001 |
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