Peta-Scale Data Warehousing at Yahoo!
Summary: EVEREST is a SQL-compliant, parallel data warehouse for Yahoo!, built on a columnar architecture with commodity hardware. Unlike commercial engines, it delivers scale, analytics, and lower admin costs, in production since 2007, managing six PB. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mona Ahuja
- 2. Cheng Che Chen
- 3. Ravi Gottapu
- 4. Jörg Hallmann
- 5. Waqar Hasan
- 6. Richard Johnson
- 7. Maciek Kozyrczak
- 8. Ramesh Pabbati
- 9. Neeta Pandit
- 10. Sreenivasulu Pokuri
- 11. Krishna Uppala
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,211 | ReStore: Reusing Results of MapReduce Jobs | 2012 | VLDB | 9.2823037e-05 |
| 4,789 | Consistency in a Stream Warehouse | 2011 | CIDR | 5.9144227e-05 |
| 8,987 | Data Stream Warehousing | 2013 | SIGMOD | 4.4127555e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 825 | Simultaneous Optimization and Evaluation of Multiple Dimensional Queries | 1998 | SIGMOD | 0.00016171735 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,966 | Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing | 2019 | SIGMOD | 6.5782437e-05 |
| 70 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00059744625 |
| 3,510 | Integrating Hadoop and Parallel DBMS | 2010 | SIGMOD | 7.0280199e-05 |
| 8,438 | What is the data warehousing problem? (Are materialized views the answer?) | 1996 | VLDB | 4.5064167e-05 |
| 9,573 | PNUTS to Sherpa: Lessons from Yahoo!'s Cloud Database | 2019 | VLDB | 4.3211424e-05 |
| 424 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023604384 |
| 9,010 | DataGarage: Warehousing Massive Performance Data on Commodity Servers | 2010 | VLDB | 4.405974e-05 |
| 2,340 | Efficient Processing of Data Warehousing Queries in a Split Execution Environment | 2011 | SIGMOD | 9.001663e-05 |
| 2,658 | Data Warehousing and Analytics Infrastructure at Facebook | 2010 | SIGMOD | 8.3634079e-05 |
| 1,945 | Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce | 2010 | VLDB | 0.0001000706 |