Declarative Data Analytics: a Survey
Databases
2019-02-05 v1 Machine Learning
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.
Cite
@article{arxiv.1902.01304,
title = {Declarative Data Analytics: a Survey},
author = {Nantia Makrynioti and Vasilis Vassalos},
journal= {arXiv preprint arXiv:1902.01304},
year = {2019}
}
Comments
36 pages, 2 figures