A dataspace-based framework for OLAP analyses in a high-variety multistore

Volume: 30, Issue: 6, Pages: 1017 - 1040
Published: Jul 31, 2021
Abstract
The success of NoSQL DBMSs has pushed the adoption of polyglot storage systems that take advantage of the best characteristics of different technologies and data models. While operational applications take great benefit from this choice, analytical applications suffer the absence of schema consistency, not only between different DBMSs but within a single NoSQL system as well. In this context, the discipline of data science is steering analysts...
Paper Details
Title
A dataspace-based framework for OLAP analyses in a high-variety multistore
Published Date
Jul 31, 2021
Volume
30
Issue
6
Pages
1017 - 1040
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