Authors:
Sérgio Fernandes
1
and
Jorge Bernardino
2
Affiliations:
1
Polytechnic Institute of Coimbra, Portugal
;
2
Polytechnic Institute of Coimbra and University of Coimbra, Portugal
Keyword(s):
Database as a Service, Cloud Computing, Cloud Databases, Database Management System, DBaaS, DWaaS.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Cloud Applications
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Distributed and Mobile Software Systems
;
Enterprise Software Technologies
;
Health Engineering and Technology Applications
;
IT Service Management
;
Knowledge-Based Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
The emergence of cloud computing caused a revolution in the universe of Information Technology. With cloud computing solutions it is possible to access powerful features, hardware and software in less time and with considerably lower costs by using the model "pay-as-you-go". At the same time, this turnover increased information, and data warehouses must respond to this new reality. Small and medium enterprises (SMEs) were deprived of owning a traditional data warehouse due to the costs involved, but the cloud has made it possible to overcome this barrier. This paper provides an overview of Data Warehouse (DW) in the cloud and presents the main characteristics of the following solutions: Amazon Redshift, IBM dashDB, Snowflake, Teradata Active Data Warehouse Private Cloud, Treasure Data, and Microsoft Azure.