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Scalable Progressive Analytics on Big Data in the Cloud
Summary: Prism defines a progress-centric model for progressive samples, enabling deterministic queries, repeatable semantics, and provenance on cloud-scale data. Now! on Azure uses progress-aware reducers, reinterprets temporal fields as progress, and delivers scalable progressive SQL over streaming engines.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10660
- Venue
- VLDB
- Year
- 2013
- Pagerank
- 5.1928748e-05
- Overall Rank
- 6,136 | 57.32%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,098 |
Trill: A High-Performance Incremental Query Processor for Diverse Analytics |
2015 |
VLDB |
0.00014114442 |
| 1,574 |
Approximate Query Processing: No Silver Bullet |
2017 |
SIGMOD |
0.00011287495 |
| 6,400 |
iOLAP: Managing Uncertainty for Efficient Incremental OLAP |
2016 |
SIGMOD |
5.0803518e-05 |
| 7,305 |
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing |
2021 |
VLDB |
4.7678776e-05 |
| 7,599 |
Quill: Efficient, Transferable, and Rich Analytics at Scale |
2016 |
VLDB |
4.7003593e-05 |
| 7,840 |
Progressive Join Algorithms Considering User Preference |
2021 |
CIDR |
4.6371736e-05 |
| 9,296 |
Controlled Intentional Degradation in Analytical Video Systems |
2022 |
SIGMOD |
4.3599613e-05 |
| 11,106 |
QPJVis Demo: Quality-boost Progressive Join Query Processing System |
2024 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 14 |
Online Aggregation |
1997 |
SIGMOD |
0.0010801504 |
| 18 |
On Random Sampling over Joins |
1999 |
SIGMOD |
0.00092385438 |
| 43 |
Models and Issues in Data Stream Systems |
2002 |
PODS |
0.00072723062 |
| 109 |
Dremel: Interactive Analysis of Web-Scale Datasets |
2010 |
VLDB |
0.00048186983 |
| 191 |
The Design of the Borealis Stream Processing Engine |
2005 |
CIDR |
0.00035738595 |
| 217 |
Ripple Joins for Online Aggregation |
1999 |
SIGMOD |
0.00033536712 |
| 1,141 |
Consistent Streaming Through Time: A Vision for Event Stream Processing |
2007 |
CIDR |
0.00013717279 |
| 1,334 |
SkewTune: Mitigating Skew in MapReduce Applications |
2012 |
SIGMOD |
0.0001250413 |
| 1,425 |
Scalable Approximate Query Processing With The DBO Engine |
2007 |
SIGMOD |
0.00012051353 |
| 1,464 |
Online Aggregation for Large MapReduce Jobs |
2011 |
VLDB |
0.00011865546 |
| 1,470 |
Processing a Trillion Cells per Mouse Click |
2012 |
VLDB |
0.00011833779 |
| 1,531 |
Online Dynamic Reordering for Interactive Data Processing |
1999 |
VLDB |
0.00011482597 |
| 1,797 |
Effective Use of Block-Level Sampling in Statistics Estimation |
2004 |
SIGMOD |
0.00010523169 |
| 2,476 |
A Platform for Scalable One-Pass Analytics using MapReduce |
2011 |
SIGMOD |
8.6960139e-05 |
| 2,575 |
A Latency and Fault-Tolerance Optimizer for Online Parallel Query Plans |
2011 |
SIGMOD |
8.5133576e-05 |
| 2,879 |
Microsoft CEP Server and Online Behavioral Targeting |
2009 |
VLDB |
7.9695819e-05 |
| 3,279 |
Early Accurate Results for Advanced Analytics on MapReduce |
2012 |
VLDB |
7.2855494e-05 |
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| Overall Rank |
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Venue |
Pagerank |
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New Query Optimization Techniques in the Spark Engine of Azure Synapse |
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VLDB |
4.4957661e-05 |
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SIGMOD |
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| 8,498 |
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2005 |
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4.4981372e-05 |
| 9,973 |
End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure |
2026 |
CIDR |
4.1945683e-05 |
| 4,673 |
Continuous Analytics: Rethinking Query Processing in a Network-Effect World |
2009 |
CIDR |
6.0058653e-05 |
| 2,198 |
Continuous Analytics Over Discontinuous Streams |
2010 |
SIGMOD |
9.308495e-05 |
| 4,132 |
Advanced Join Strategies for Large-Scale Distributed Computation |
2014 |
VLDB |
6.4241067e-05 |
| 9,504 |
Supporting Scalable Analytics with Latency Constraints |
2015 |
VLDB |
4.3341665e-05 |
| 7,387 |
Bubble Execution: Resource-aware Reliable Analytics at Cloud Scale |
2018 |
VLDB |
4.7438193e-05 |
| 5,297 |
Continuous Cloud-Scale Query Optimization and Processing |
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VLDB |
5.5801669e-05 |