GLADE: Big Data Analytics Made Easy
Summary: GLADE is a scalable distributed analytics system using a single UDA-based class with four methods for near-data execution and cluster-wide parallelism. Compared with PostgreSQL UDAs and MapReduce (Java/Pig Latin), it emphasizes expressiveness, scalability, and runtime efficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yu Cheng (University of California Merced)
- 2. Chengjie Qin (University of California Merced)
- 3. Florin Rusu (University of California Merced)
BibTeX Citation
@inproceedings{cheng_sigmod12,
title = {{GLADE: Big Data Analytics Made Easy}},
author = {Cheng, Yu and Qin, Chengjie and Rusu, Florin},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213936},
url = {https://dl.acm.org/doi/10.1145/2213836.2213936},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,223 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011468426 |
| 1,669 | SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle | 2020 | CIDR | 9.9324573e-05 |
| 2,423 | Parallel Data Analysis Directly on Scientific File Formats | 2014 | SIGMOD | 8.4851588e-05 |
| 3,739 | In-RDBMS Hardware Acceleration of Advanced Analytics | 2018 | VLDB | 7.0595382e-05 |
| 4,097 | Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches | 2021 | VLDB | 6.8064316e-05 |
| 4,302 | Efficient and Portable Einstein Summation in SQL | 2023 | SIGMOD | 6.6754218e-05 |
| 4,902 | Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models | 2017 | VLDB | 6.3617262e-05 |
| 9,287 | Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases | 2016 | SIGMOD | 5.2015703e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 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 | 0.0010515896 |
| 43 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.0004552807 |
| 154 | MAD Skills: New Analysis Practices for Big Data | 2009 | VLDB | 0.00028568843 |
| 1,040 | The DataPath System: A Data-Centric Analytic Processing Engine for Large Data Warehouses | 2010 | SIGMOD | 0.00012358804 |
| 1,810 | Distributed Data-Parallel Computing Using a High-Level Programming Language | 2009 | SIGMOD | 9.584952e-05 |
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