Declarative Data Analytics: a Survey

February 04, 2019 ยท The Cartographer ยท ๐Ÿ› IEEE Transactions on Knowledge and Data Engineering

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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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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