Towards Model Based Approximate Query Processing Information Guide

  1. Overview to Towards Model Based Approximate Query Processing
  2. Core Information
  3. Developments
  4. Expert Insights
  5. Future Outlook

Overview to Towards Model Based Approximate Query Processing

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Core Information

Information SIGMOD 2019   DBEst: revisiting approximate query processing engines with machine learning models Guide
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Developments

Full Approximate Query Processing News
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SnappyData Approximate Query Processing (AQP) discussed
SnappyData Approximate Query Processing (AQP) discussed
Learned Approximate Query Processing: Make it Light, Accurate and Fast (CIDR 2021)
Learned Approximate Query Processing: Make it Light, Accurate and Fast (CIDR 2021)
Yongjoo Park, University of Michigan, VerdictDB: Universalizing Approximate Query Processing
Yongjoo Park, University of Michigan, VerdictDB: Universalizing Approximate Query Processing
Demo pt 3: SnappyData Approximate Query Processing
Demo pt 3: SnappyData Approximate Query Processing
Bounded Approximate Query Processing
Bounded Approximate Query Processing
Converting Exact to Approximate Query Processing in Oracle Database 12.2 Onward
Converting Exact to Approximate Query Processing in Oracle Database 12.2 Onward
Towards a Learned Index Structure for Approximate Nearest Neighbor Search Query Processing
Towards a Learned Index Structure for Approximate Nearest Neighbor Search Query Processing
Efficient Query Processing Using Machine Learning
Efficient Query Processing Using Machine Learning
Vector Search & Approximate Nearest Neighbors (ANN) | FAISS (HNSW & IVF)
Vector Search & Approximate Nearest Neighbors (ANN) | FAISS (HNSW & IVF)
Jinglin Peng, Simon Fraser Univ., AQP++: Connecting Approximate Query Processing With Agg. Precomp.
Jinglin Peng, Simon Fraser Univ., AQP++: Connecting Approximate Query Processing With Agg. Precomp.
Learned Optimizer for Online Approximate Query Processing in Data Exploration
Learned Optimizer for Online Approximate Query Processing in Data Exploration

Expert Insights

Data is compiled from public records and verified media reports.

Last Updated: October 29, 2026

Future Outlook

38: Approximate Query Processing News
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Summary

Authors: Moritz Kulessa (TU Darmstadt); Benjamin Hilprecht (TU Darmstadt); Alejandro Molina (TU Darmstadt); Carsten Binnig ... This cast is from our first webinar. In this section Authors: Qingzhi Ma (University of Warwick); Ali Mohammadi Shanghooshabad (University of Warwick); Mehrdad Almasi ... Yongjoo Park, University of Michigan, VerdictDB: Universalizing Jags demos SnappyData's AQP features which create massive performance benefits for analytics This video gives a quick demonstration of the Given the rise of deep neural networks (DNNs), unstructured data is becoming increasingly feasible to Discover the fascinating world of Jinglin Peng, Simon Fraser University, AQP++: Connecting

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