tutorial

Multi-Model Data Query Languages and Processing Paradigms

Authors:

Steven YuanAuthors Info & Claims

CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Pages 3505 - 3506

https://doi.org/10.1145/3340531.3412174

Published: 19 October 2020 Publication History

Abstract

Specifying users' interests with a formal query language is a typically challenging task, which becomes even harder in the context of multi-model data management because we have to deal with data variety. It usually lacks a unified schema to help the users issuing their queries, or has an incomplete schema as data come from disparate sources. Multi-Model DataBases (MMDBs) have emerged as a promising approach for dealing with this task as they are capable of accommodating and querying the multi-model data in a single system. This tutorial aims to offer a comprehensive presentation of a wide range of query languages for MMDBs and to make comparisons of their properties from multiple perspectives. We will discuss the essence of cross-model query processing and provide insights on the research challenges and directions for future work. The tutorial will also offer the participants hands-on experience in applying MMDBs to issue multi-model data queries.

Supplementary Material

MP4 File (3340531.3412174.mp4)

In this teaser video, we make a brief introduction to each section that will be discussed in our tutorial.

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Cited By

Zhang CLi GLv T(2024)HyBench: A New Benchmark for HTAP DatabasesProceedings of the VLDB Endowment10.14778/3641204.364120617:5(939-951)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.14778/3641204.3641206
Zhang JZhang CLi GChai C(2024)PACE: Poisoning Attacks on Learned Cardinality EstimationProceedings of the ACM on Management of Data10.1145/36392922:1(1-27)Online publication date: 26-Mar-2024
https://dl.acm.org/doi/10.1145/3639292
Poltavtseva MAleksandrova EIzotova O(2024)Data modeling for consistent access control in heterogeneous big data systems2024 Ivannikov Memorial Workshop (IVMEM)10.1109/IVMEM63006.2024.10659707(42-48)Online publication date: 17-May-2024
https://doi.org/10.1109/IVMEM63006.2024.10659707
Show More Cited By

Index Terms

Multi-Model Data Query Languages and Processing Paradigms
1. Information systems
  1. Data management systems
    1. Query languages
      1. Query languages for non-relational engines

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Information & Contributors

Information

Published In

cover image ACM Conferences

CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

October 2020

3619 pages

ISBN:9781450368599

DOI:10.1145/3340531

General Chairs:
Mathieu d'Aquin
DSI, Insight, NUI Galway, Ireland
,
Stefan Dietze
GESIS, Cologne, Germany, Heinrich-Heine-University Düsseldorf, Germany, L3S Research Center, Germany
,
Program Chairs:
Claudia Hauff
TU Delft, The Netherlands
,
Edward Curry
DSI, Insight, NUI Galway, Ireland
,
Philippe Cudre Mauroux
eXascale, University of Fribourg, Switzerland

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Publication History

Published: 19 October 2020

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Finnish Academy
Huawei Canada

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CIKM '20

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CIKM '20: The 29th ACM International Conference on Information and Knowledge Management

October 19 - 23, 2020

Virtual Event, Ireland

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Cited By

Zhang CLi GLv T(2024)HyBench: A New Benchmark for HTAP DatabasesProceedings of the VLDB Endowment10.14778/3641204.364120617:5(939-951)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.14778/3641204.3641206
Zhang JZhang CLi GChai C(2024)PACE: Poisoning Attacks on Learned Cardinality EstimationProceedings of the ACM on Management of Data10.1145/36392922:1(1-27)Online publication date: 26-Mar-2024
https://dl.acm.org/doi/10.1145/3639292
Poltavtseva MAleksandrova EIzotova O(2024)Data modeling for consistent access control in heterogeneous big data systems2024 Ivannikov Memorial Workshop (IVMEM)10.1109/IVMEM63006.2024.10659707(42-48)Online publication date: 17-May-2024
https://doi.org/10.1109/IVMEM63006.2024.10659707
Indamutsa ADi Rocco JAlmonte LDi Ruscio DPierantonio A(2024)Advanced discovery mechanisms in model repositoriesSoftware: Practice and Experience10.1002/spe.3332Online publication date: 25-Apr-2024
https://doi.org/10.1002/spe.3332
Sudrajat RRuchjana BAbdullah ABudiarto R(2023)Query Model Framework Design for Conservation History and Endowments Database: A Case Study on the Digitization of the Sumedang Larang Kingdom’s History and Endowments in IndonesiaHeritage10.3390/heritage61203946:12(7508-7530)Online publication date: 29-Nov-2023
https://doi.org/10.3390/heritage6120394
Holubova IContos PSvoboda M(2021)Categorical Management of Multi-Model DataProceedings of the 25th International Database Engineering & Applications Symposium10.1145/3472163.3472166(134-140)Online publication date: 14-Jul-2021
https://dl.acm.org/doi/10.1145/3472163.3472166

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