The Transformers for Polystores - The Next Frontier for Polystore Research

Edmon Begoli; Sudarshan Srinivasan; Maria Mahbub

doi:10.1007/978-3-030-71055-2_7

The Transformers for Polystores - The Next Frontier for Polystore Research

Edmon Begoli, Sudarshan Srinivasan, Maria Mahbub

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

What if we could solve one of the most complex challenges of polystore research by applying a technique originating in a completely different domain, and originally developed to solve a completely different set of problems? What if we could replace many of the components that make today’s polystore with components that only understand query languages and data in terms of matrices and vectors? This is the vision that we propose as the next frontier for polystore research, and as the opportunity to explore attention-based transformer deep learning architecture as the means for automated source-target query and data translation, with no or minimal hand-coding required, and only through training and transfer learning.

Original language	English
Title of host publication	Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Revised Selected Papers
Editors	Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	72-77
Number of pages	6
ISBN (Print)	9783030710545
DOIs	https://doi.org/10.1007/978-3-030-71055-2_7
State	Published - 2021
Event	VLDB workshops: International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2020, and 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020 - Virtual, Online Duration: Aug 31 2020 → Sep 4 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12633 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	VLDB workshops: International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2020, and 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020
City	Virtual, Online
Period	08/31/20 → 09/4/20

Funding

Acknowledgments. This work has been in part co-authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The content is solely the responsibility of the authors and does not necessarily represent the official views of the UT-Battelle, or the Department of Energy.

Keywords

Deep learning
Polystore
Transformers attention-based neural networks

Access to Document

10.1007/978-3-030-71055-2_7

Cite this

Begoli, E., Srinivasan, S., & Mahbub, M. (2021). The Transformers for Polystores - The Next Frontier for Polystore Research. In V. Gadepally, T. Mattson, M. Stonebraker, T. Kraska, F. Wang, G. Luo, J. Kong, & A. Dubovitskaya (Eds.), Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Revised Selected Papers (pp. 72-77). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12633 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-71055-2_7

Begoli, Edmon ; Srinivasan, Sudarshan ; Mahbub, Maria. / The Transformers for Polystores - The Next Frontier for Polystore Research. Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Revised Selected Papers. editor / Vijay Gadepally ; Timothy Mattson ; Michael Stonebraker ; Tim Kraska ; Fusheng Wang ; Gang Luo ; Jun Kong ; Alevtina Dubovitskaya. Springer Science and Business Media Deutschland GmbH, 2021. pp. 72-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "What if we could solve one of the most complex challenges of polystore research by applying a technique originating in a completely different domain, and originally developed to solve a completely different set of problems? What if we could replace many of the components that make today{\textquoteright}s polystore with components that only understand query languages and data in terms of matrices and vectors? This is the vision that we propose as the next frontier for polystore research, and as the opportunity to explore attention-based transformer deep learning architecture as the means for automated source-target query and data translation, with no or minimal hand-coding required, and only through training and transfer learning.",

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editor = "Vijay Gadepally and Timothy Mattson and Michael Stonebraker and Tim Kraska and Fusheng Wang and Gang Luo and Jun Kong and Alevtina Dubovitskaya",

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Begoli, E , Srinivasan, S & Mahbub, M 2021, The Transformers for Polystores - The Next Frontier for Polystore Research. in V Gadepally, T Mattson, M Stonebraker, T Kraska, F Wang, G Luo, J Kong & A Dubovitskaya (eds), Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12633 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 72-77, VLDB workshops: International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2020, and 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020, Virtual, Online, 08/31/20. https://doi.org/10.1007/978-3-030-71055-2_7

The Transformers for Polystores - The Next Frontier for Polystore Research. / Begoli, Edmon ; Srinivasan, Sudarshan; Mahbub, Maria.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Revised Selected Papers. ed. / Vijay Gadepally; Timothy Mattson; Michael Stonebraker; Tim Kraska; Fusheng Wang; Gang Luo; Jun Kong; Alevtina Dubovitskaya. Springer Science and Business Media Deutschland GmbH, 2021. p. 72-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12633 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Srinivasan, Sudarshan

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ER -

Begoli E , Srinivasan S, Mahbub M. The Transformers for Polystores - The Next Frontier for Polystore Research. In Gadepally V, Mattson T, Stonebraker M, Kraska T, Wang F, Luo G, Kong J, Dubovitskaya A, editors, Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2021. p. 72-77. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-71055-2_7

The Transformers for Polystores - The Next Frontier for Polystore Research

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