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Authors: Pedro Joel Ferreira 1 ; Ana Almeida 1 and Jorge Bernardino 2

Affiliations: 1 Instituto Superior de Engenharia do Porto, Portugal ; 2 Instituto Superior de Engenharia de Coimbra, Portugal

ISBN: 978-989-758-271-4

Keyword(s): Cloud Computing, Data Warehousing, Cloud Data Warehousing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Business Intelligence Applications ; Data Analytics ; Data Engineering ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: A data warehouse enables the analysis of large amounts of information that typically comes from the organization's transactional systems (OLTP). However, today's data warehouse systems do not have the capacity to handle the massive amount of data that is currently produced, then comes the concept of cloud computing. Cloud computing is a model that enables ubiquitous and on-demand access to a set of shared or non-shared computing resources (such as networks, servers, or storage) that can be quickly provisioned or released only with a simple request and without human intervention. In this model, the features are almost unlimited and in working together they bring a very high computing power that can and should be used for the most varied purposes. From the combination of both these concepts, emerges the cloud data warehouse. It advances the way traditional data warehouse systems are defined by allowing their sources to be located anywhere as long as it is accessible through the Internet, also taking advantage of the great computational power of an infrastructure in the cloud. In this paper, we study two of the most popular cloud data warehousing market solutions: Amazon Redshift and Microsoft Azure SQL Data Warehouse. (More)

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Paper citation in several formats:
Ferreira, P.; Almeida, A. and Bernardino, J. (2017). Data Warehousing in the Cloud: Amazon Redshift vs Microsoft Azure SQL.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 318-325. DOI: 10.5220/0006587103180325

@conference{kdir17,
author={Pedro Joel Ferreira. and Ana Almeida. and Jorge Bernardino.},
title={Data Warehousing in the Cloud: Amazon Redshift vs Microsoft Azure SQL},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006587103180325},
isbn={978-989-758-271-4},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Data Warehousing in the Cloud: Amazon Redshift vs Microsoft Azure SQL
SN - 978-989-758-271-4
AU - Ferreira, P.
AU - Almeida, A.
AU - Bernardino, J.
PY - 2017
SP - 318
EP - 325
DO - 10.5220/0006587103180325

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