HadoopDB in Action: Building Real World Applications
Summary: HadoopDB fuses MapReduce with DBMS tech to analyze huge datasets on large clusters, delivering parallel DBMS performance with MapReduce fault tolerance. Protein analysis and TPC-H warehousing; flexible architecture and a concise app-building walkthrough. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Azza Abouzied (Yale University)
- 2. Kamil Bajda-Pawlikowski (Yale University)
- 3. Jiewen Huang (Yale University)
- 4. Daniel J. Abadi (Yale University)
- 5. Avi Silberschatz (Yale University)
BibTeX Citation
@inproceedings{abouzied_sigmod10,
title = {{HadoopDB in Action: Building Real World Applications}},
author = {Abouzied, Azza and Bajda-Pawlikowski, Kamil and Huang, Jiewen and Abadi, Daniel J. and Silberschatz, Avi},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807294},
url = {https://dl.acm.org/doi/10.1145/1807167.1807294},
year = {2010}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,312 | A Hadoop Based Distributed Loading Approach to Parallel Data Warehouses | 2011 | SIGMOD | 5.9170938e-05 |
| 9,747 | FlashView: An Interactive Visual Explorer for Raw Data | 2017 | VLDB | 5.227679e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 44 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00046055057 |
| 120 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB | 0.00031680027 |
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