Popularity Prediction for Social Media over Arbitrary Time Horizons
Daniel Haimovich, Dima Karamshuk, Thomas J. Leeper, Evgeniy Riabenko, Milan Vojnovic
Hive - A Warehousing Solution Over a Map-Reduce Framework
International Conference on Very Large Data Bases (VLDB)
Abstract
The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. Hadoop is a popular open-source map-reduce implementation which is being used as an alternative to store and process extremely large data sets on commodity hard- ware. However, the map-reduce programming model is very low level and requires developers to write custom programs which are hard to maintain and reuse.
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