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On Scale Independence for Querying Big Data

Summary: Formalizes scale independence—queries whose needed retrieval size depends on query+access methods, not dataset size—and gives matching upper/lower bounds for deciding it across languages and complexity regimes. Since exact checks are hard and non-syntactic, derives sufficient conditions via access schemas (indexes, constraints, cardinality bounds) and studies scale-independent incremental maintenance and view-based rewrites. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1627
Venue
PODS
Year
2014
Pagerank
4.7358047e-05
Overall Rank
7,413 | 48.43%
DOI
10.1145/2594538.2594551

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
1,574 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00011287495
3,599 Automatic Enforcement of Data Use Policies with DataLawyer 2015 SIGMOD 6.9324513e-05
4,546 Bounded Conjunctive Queries 2014 VLDB 6.0987778e-05
7,085 Querying Big Data by Accessing Small Data 2015 PODS 4.8388174e-05
8,715 Data Driven Approximation with Bounded Resources 2017 VLDB 4.4619052e-05
8,961 An Effective Syntax for Bounded Relational Queries 2016 SIGMOD 4.4206115e-05
11,672 Block as a Value for SQL over NoSQL 2019 VLDB 4.1945683e-05
11,785 BEAS: Bounded Evaluation of SQL Queries 2017 SIGMOD 4.1945683e-05
11,826 Bounded Query Rewriting Using Views 2016 PODS 4.1945683e-05
11,831 Logical Aspects of Massively Parallel and Distributed Systems 2016 PODS 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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