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HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries

Summary: HADAD is an extensible approach optimizing hybrid RA-LA analytics via a unified relational model. It plugs into LA or RA-LA systems without internal changes, leveraging materialized results to unify optimization and boost LA workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6201
Venue
SIGMOD
Year
2021
Pagerank
4.4169807e-05
Overall Rank
8,980 | 37.53%
DOI
10.1145/3448016.3457311

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,156 Optimizing Tensor Programs on Flexible Storage 2023 SIGMOD 5.1802603e-05
7,492 Krypton: Real-time Serving and Analytical SQL Engine at ByteDance 2023 VLDB 4.7180617e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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