Hive - A Warehousing Solution Over a Map-Reduce Framework
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Summary
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 hardware.
- Type
- article
- Published
- 2009-08-01
- Cited by
- 1,923
- References
- 4
- OpenAlex
- https://openalex.org/W2110086534
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15311054
Keywords
Computer science, Reuse, Process (computing), Business intelligence, Database
References
Cited by
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- SISTEMAS PARA ALMACENAR GRANDES VOLÚMENES DE DATOS
- A Comparison of MapReduce and Parallel Database Management Systems
- MapReduce and PACT - Comparing Data Parallel Programming Models
- Performance Modeling And Resource Management For Mapreduce Applications
- ACE: Agile, Contingent and Efficient Similarity Joins Using MapReduce
- Systems for Challenged Network Environments
- Minimization of Resource Consumption through Workload Consolidation in Large-Scale Distributed Data Platforms
- Provenance for Generalized Map and Reduce Workflows
- A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures
- Performance Evaluation of Distributed SQL Query Engines and Query Time Predictors
- A scalable database for a remote patient monitoring system
- Optimizing data management for MapReduce applications on large-scale distributed infrastructures. (Optimisation de la gestion des données pour les applications MapReduce sur des infrastructures distribuées à grande échelle)
- Automatic Tuning of Data-Intensive Analytical Workloads
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