Multi-model query languages: taming the variety of big data
محفوظ في:
| الحاوية / القاعدة: | Distributed and Parallel Databases vol. 42, no. 1 (Mar 2024), p. 31 |
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| المؤلف الرئيسي: | |
| مؤلفون آخرون: | , , |
| منشور في: |
Springer Nature B.V.
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| الموضوعات: | |
| الوصول للمادة أونلاين: | Citation/Abstract Full Text Full Text - PDF |
| الوسوم: |
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| 100 | 1 | |a Guo, Qingsong |u North University of China, School of Computer Science & Technology, Taiyuan, China (GRID:grid.440581.c) (ISNI:0000 0001 0372 1100); University of Helsinki, Department of Computer Science, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071) | |
| 245 | 1 | |a Multi-model query languages: taming the variety of big data | |
| 260 | |b Springer Nature B.V. |c Mar 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a A critical issue in Big Data management is to address the variety of data–data are produced by disparate sources, presented in various formats, and hence inherently involves multiple data models. Multi-Model DataBases (MMDBs) have emerged as a promising approach for dealing with this task as they are capable of accommodating multi-model data in a single system and querying across them with a unified query language. This article aims to offer a comprehensive survey of a wide range of multi-model query languages of MMDBs. In particular, we first present the SQL-based extensions toward multi-model data, including the standard SQL extensions such as SQL/XML, SQL/JSON, and GQL, and the non-standard SQL extensions such as SQL++ and SPASQL. We then study the manners in which document-based and graph-based query languages can be extended to support multi-model data. We also investigate the query languages that provide native support on multi-model data. Finally, this article provides insights into the open challenges and problems of multi-model query languages. | |
| 653 | |a Data management | ||
| 653 | |a Databases | ||
| 653 | |a Data models | ||
| 653 | |a Datasets | ||
| 653 | |a Investigations | ||
| 653 | |a Big Data | ||
| 653 | |a Resource Description Framework-RDF | ||
| 653 | |a Time series | ||
| 653 | |a Queries | ||
| 653 | |a Extensible Markup Language | ||
| 653 | |a Query languages | ||
| 700 | 1 | |a Zhang, Chao |u Tsinghua University, Department of Computer Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178) | |
| 700 | 1 | |a Zhang, Shuxun |u University of Helsinki, Department of Computer Science, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071) | |
| 700 | 1 | |a Lu, Jiaheng |u University of Helsinki, Department of Computer Science, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071) | |
| 773 | 0 | |t Distributed and Parallel Databases |g vol. 42, no. 1 (Mar 2024), p. 31 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3255420158/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3255420158/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3255420158/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |