Declarative Data Analytics: a Survey
February 04, 2019 ยท The Cartographer ยท ๐ IEEE Transactions on Knowledge and Data Engineering
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"Title-pattern auto-detect: Declarative Data Analytics: a Survey"
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Authors
Nantia Makrynioti, Vasilis Vassalos
arXiv ID
1902.01304
Category
cs.DB: Databases
Cross-listed
cs.LG
Citations
17
Venue
IEEE Transactions on Knowledge and Data Engineering
Last Checked
2 days ago
Abstract
The area of declarative data analytics explores the application of the declarative paradigm on data science and machine learning. It proposes declarative languages for expressing data analysis tasks and develops systems which optimize programs written in those languages. The execution engine can be either centralized or distributed, as the declarative paradigm advocates independence from particular physical implementations. The survey explores a wide range of declarative data analysis frameworks by examining both the programming model and the optimization techniques used, in order to provide conclusions on the current state of the art in the area and identify open challenges.
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