End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure
Summary: Advocates end-to-end declarative analytics via co-designed engines and cloud infra: a composite DB engine emits dataflow graphs whose operators declare inputs, outputs, and parallelism. The cloud consumes these graphs for placement, scaling, caching, and isolation, enabling elastic, data-dependent parallelism over heterogeneous data lakes and non‑relational workloads.
(summarized by gpt-5-mini on Feb 09 2026)
Paper ID
574
Venue
CIDR
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,121 | 30.57%
DOI
-
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@inproceedings{li_cidr26,
address = {Amsterdam, Netherlands},
series = {{CIDR} '26},
title = {{End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Li, Pinghe and Kuchler, Tom and Kabić, Marko and Stocker, Tobias and Alonso, Gustavo and Klimovic, Ana},
year = {2026}
}
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