Techniques for semi-automatic generation of data cubes from star-schemas
The aim of this thesis is to investigate techniques to better automate the process of generating data cubes from star- or snowflake schemas. The company Trimma builds cubes manually today, but we will investigate doing this more efficiently. We will select two basic approaches and implement them in...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-130648 |