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		<issn>2177-3114</issn>
		<citationkey>PereiraFerrSilv:2018:StApOL</citationkey>
		<title>A study for the application of OLAP in satellite telemetry data</title>
		<format>On-line.</format>
		<year>2018</year>
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		<author>Pereira, Yuri Matheus Dias,</author>
		<author>Ferreira, Maurício Gonçalves Vieira,</author>
		<author>Silva, R. R.,</author>
		<group>CSE-ETES-SESPG-INPE-MCTIC-GOV-BR</group>
		<group>DIDSE-CGETE-INPE-MCTIC-GOV-BR</group>
		<electronicmailaddress>yuri.pereira@inpe.br</electronicmailaddress>
		<electronicmailaddress>mauricio.ferreira@inpe.br</electronicmailaddress>
		<editor>Santos, Walter Abrahão dos,</editor>
		<editor>Rodrigues, Italo Pinto,</editor>
		<editor>Lima, Jeanne Samara dos Santos,</editor>
		<editor>Rodrigues, Aline Castilho,</editor>
		<editor>Mateus, Dairo Antonio Cuellar,</editor>
		<editor>Moreira, Herbi Júnior Pereira,</editor>
		<editor>Barbosa, ivan Márcio,</editor>
		<editor>Tenório, Plínio Ivo Gama,</editor>
		<editor>Toledo, Rafael Cardoso,</editor>
		<editor>Pereira, Yuri Matheus Dias,</editor>
		<conferencename>Workshop em Engenharia e Tecnologia Espaciais, 9 (WETE)</conferencename>
		<conferencelocation>São José dos Campos</conferencelocation>
		<date>15-16 ago. 2018</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>Data Cube, OLAP, Telemetry, Data Warehouse. 1. Introduction.</keywords>
		<abstract>The Brazilian National Institute for Space Research (INPE) currently operates three main satellites, each of whom generates their own telemetry data for the engineering depart- ment to check the health of the satellite and of its subsystems. This data needs to be analyzed to evaluate whether the satellite will be able to keep nominal operations in the future. Telemetry data is characterized by its high dimensionality, making analysis difficulty and hard to gener- alize for other satellites. This work aims to present a study on On-Line Analytical Processing (OLAP) architecture alternative: the Data Cube. An overview of the Data Cube structure is presented, together with solutions that it might bring to satellite operations, and concludes by reviewing some alternatives in the literature.</abstract>
		<area>ETE</area>
		<type>Engenharia e Gerenciamento de Sistemas Espaciais</type>
		<language>pt</language>
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