SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets
Summary: SCOPE is a declarative, extensible scripting language for data analysis on clusters, hiding parallelism from users. It provides SQL-like modeling with joins and aggregates, plus user-defined operators (extractors, processors, reducers, combiners), nesting, and stepwise plans compiled into parallel execution. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ronnie Chaiken (Microsoft)
- 2. Bob Jenkins (Microsoft)
- 3. Per-Åke Larson (Microsoft)
- 4. Bill Ramsey (Microsoft)
- 5. Darren Shakib (Microsoft)
- 6. Simon Weaver (Microsoft)
- 7. Jingren Zhou (Microsoft)
BibTeX Citation
@article{chaiken_vldb08,
title = {{SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets}},
author = {Chaiken, Ronnie and Jenkins, Bob and Larson, Per-Åke and Ramsey, Bill and Shakib, Darren and Weaver, Simon and Zhou, Jingren},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {1265--1276},
doi = {10.14778/1454159.1454224},
url = {https://doi.org/10.14778/1454159.1454224},
year = {2008}
}Incoming Citations (Sorted by Pagerank)
Showing 39 of 89 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 |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 72 | Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters | 2007 | SIGMOD | 0.00037695852 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,377 | Scalable Querying of Nested Data | 2021 | VLDB |
| 2 | 1,021 | Jaql: A Scripting Language for Large Scale Semistructured Data Analysis | 2011 | VLDB |
| 3 | 954 | Parallel Evaluation of Conjunctive Queries | 2011 | PODS |
| 4 | 7,796 | GraphScope: A One-Stop Large Graph Processing System | 2021 | VLDB |
| 5 | 2,717 | Implicit Parallelism through Deep Language Embedding | 2015 | SIGMOD |
| 6 | 3,466 | Advanced Partitioning Techniques for Massively Distributed Computation | 2012 | SIGMOD |
| 7 | 6,822 | JetScope: Reliable and Interactive Analytics at Cloud Scale | 2015 | VLDB |
| 8 | 3,578 | Advanced Join Strategies for Large-Scale Distributed Computation | 2014 | VLDB |
| 9 | 2,915 | GraphScope: A Unified Engine For Big Graph Processing | 2021 | VLDB |
| 10 | 4,742 | Continuous Cloud-Scale Query Optimization and Processing | 2013 | VLDB |