Design of a portable programming abstraction for data transformations
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| Názov: | Design of a portable programming abstraction for data transformations |
|---|---|
| Autori: | Luong, Johannes, Habich, Dirk, Lehner, Wolfgang |
| Prispievatelia: | Bernardino, Jorge, Quix, Christoph |
| Zdroj: | Luong, J, Habich, D & Lehner, W 2018, Design of a portable programming abstraction for data transformations. in J Bernardino & C Quix (eds), DATA 2018 - Proceedings of the 7th International Conference on Data Science, Technology and Applications. SciTePress, DATA 2018 - Proceedings of the 7th International Conference on Data Science, Technology and Applications, pp. 400-408, 7th International Conference on Data Science, Technology and Applications, DATA 2018, Porto, Portugal, 26/07/2018. https://doi.org/10.5220/0006945004000408 |
| Informácie o vydavateľovi: | SciTePress |
| Rok vydania: | 2018 |
| Zbierka: | Aalborg University (AAU): Publications / Aalborg Universitet: Publikationer |
| Predmety: | Data analyses, Database programming languages, Parallel programming models, System integration |
| Popis: | Novel data intensive applications and the diversification of data processing platforms have changed data management significantly over the last decade. In this changed environment, the expressiveness of the traditional relational algebra is often insufficient and data management systems have started to provide more powerful special purpose programming languages. However, these languages create a tight coupling between applications and specific systems that can hinder further development on both sides of the equation. The goal of this article is to start a discussion on the future of platform independent programming models for data processing that re-establish the separation of application logic and implementation details that used to be a cornerstone of data management systems. As a guide for that discussion, we introduce several recent related works on that topic and also outline our own contribution, the Analytical Calculus. |
| Druh dokumentu: | article in journal/newspaper |
| Jazyk: | English |
| ISBN: | 978-989-758-318-6 989-758-318-1 |
| Relation: | urn:ISBN:9789897583186 |
| DOI: | 10.5220/0006945004000408 |
| Dostupnosť: | https://vbn.aau.dk/da/publications/9981fc40-5fb8-4e0e-9da2-d9f0e38db39b https://doi.org/10.5220/0006945004000408 http://www.scopus.com/inward/record.url?scp=85071420640&partnerID=8YFLogxK |
| Rights: | info:eu-repo/semantics/openAccess |
| Prístupové číslo: | edsbas.752010A0 |
| Databáza: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | Novel data intensive applications and the diversification of data processing platforms have changed data management significantly over the last decade. In this changed environment, the expressiveness of the traditional relational algebra is often insufficient and data management systems have started to provide more powerful special purpose programming languages. However, these languages create a tight coupling between applications and specific systems that can hinder further development on both sides of the equation. The goal of this article is to start a discussion on the future of platform independent programming models for data processing that re-establish the separation of application logic and implementation details that used to be a cornerstone of data management systems. As a guide for that discussion, we introduce several recent related works on that topic and also outline our own contribution, the Analytical Calculus. |
|---|---|
| ISBN: | 9789897583186 9897583181 |
| DOI: | 10.5220/0006945004000408 |