G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data
Summary: G-OLA generalizes online aggregation to support OLAP queries with arbitrarily nested aggregates via delta-maintenance in a mini-batch model. Implemented in FluoDB atop Spark; scales to 100 nodes processing ~10 TB of logs with real-time dashboards. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kai Zeng
- 2. Sameer Agarwal
- 3. Ankur Dave
- 4. Michael Armbrust
- 5. Ion Stoica
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,496 | GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP | 2024 | SIGMOD | 5.0413077e-05 |
| 11,522 | AnyOLAP: Analytical Processing of Arbitrary Data-Intensive Applications without ETL | 2021 | VLDB | 4.1945683e-05 |
| 3,157 | High-Dimensional OLAP: A Minimal Cubing Approach | 2004 | VLDB | 7.4656511e-05 |
| 1,000 | Intelligent Rollups in Multidimensional OLAP Data | 2001 | VLDB | 0.00014709252 |
| 4,796 | Extending Practical Pre-Aggregation in On-Line Analytical Processing | 1999 | VLDB | 5.9152598e-05 |
| 12,403 | When is it Time to Rethink the Aggregate Configuration of Your OLAP Server? | 2008 | VLDB | 4.1945683e-05 |
| 11,194 | A Step Toward Deep Online Aggregation | 2023 | SIGMOD | 4.1945683e-05 |
| 767 | Explaining differences in multidimensional aggregates | 1999 | VLDB | 0.00016981309 |
| 6,400 | iOLAP: Managing Uncertainty for Efficient Incremental OLAP | 2016 | SIGMOD | 5.0803518e-05 |
| 9,948 | DeepOLA: Online Aggregation for Deeply Nested Queries | 2022 | SIGMOD | 4.2421586e-05 |