We present Ver, a data discovery system that identifies project-join views over large repositories of tables that do not contain join path information, and even when input queries are inaccurate. Ver implements a reference architecture to solve both the technical (scale and search) and human (semantic ambiguity, navigating a large number of results) problems of view discovery. We demonstrate users find the view they want when using Ver with a user study and we demonstrate its performance with large-scale end-to-end experiments on real-world datasets containing tens of millions of join paths.
@article{arxiv.2106.01543,
title = {Ver: View Discovery in the Wild},
author = {Yue Gong and Zhiru Zhu and Sainyam Galhotra and Raul Castro Fernandez},
journal= {arXiv preprint arXiv:2106.01543},
year = {2022}
}