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Relational Algebra for Heterogeneous Cloud Data Sources

Authors:
Aspen Olmsted

Keywords: Relational Algebra; Cloud Computing; Heterogeneous Data

Abstract:
Cloud computing has changed the way commonly used data is stored. Before the adoption of the cloud, most data was preserved in proprietary relational databases. Cloud services provide native storage for several complex data types including contacts, calendar events, tasks and form responses. Along with the cloud services the user is delivered mobile application synchronization, web application interfaces and guarantees of availability. Unfortunately, along with all the benefits of the native cloud data types comes complexity that leads to several difficulties. One difficulty is data queries that relate data from different heterogeneous data sources. In this paper, we develop a relational algebra that operates on two-dimensional data stored in many heterogeneous cloud formats. The relation algebra is exposed via web-services and allows a user to combine data from different data types and across domains.

Pages: 120 to 126

Copyright: Copyright (c) IARIA, 2019

Publication date: May 5, 2019

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-703-0

Location: Venice, Italy

Dates: from May 5, 2019 to May 9, 2019