Analyzing the impact of data compression in Hive
Executing expensive queries over many large tables can be prohibitively time consuming in conventional relational databases. Hadoop and its data warehouse Hive is a powerful alternative for large scale data processing. Conventionally, data is stored in Hive without compression. There is value in sto...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2014
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-269235 |