Hive - A Warehousing Solution Over a Map-Reduce Framework
Summary: Hive provides a data warehousing layer on Hadoop with SQL-like HiveQL compiled to MapReduce for scalable analytics on commodity hardware. It adds an extensible IO layer, a nested type system, and a centralized Hive-Metastore catalog for statistics and optimization, enabling large-scale deployments (thousands of tables, TB-scale data). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ashish Thusoo
- 2. Joydeep Sen Sarma
- 3. Namit Jain
- 4. Zheng Shao
- 5. Prasad Chakka
- 6. Suresh Anthony
- 7. Hao Liu
- 8. Pete Wyckoff
- 9. Raghotham Murthy
Incoming Citations (Sorted by Pagerank)
Showing 33 of 133 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 22 | SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets | 2008 | VLDB | 0.00084679526 |
| 42 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00073570328 |
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