'Shared-Nothing' Cloud Data Warehouse Architecture
Energy management systems from Romania do not have the capabilities of energy specific management due to lack of technology for real-time monitoring. As was the case in many other countries, the advent of smart metering technology will increase the level of energy data significantly. Therefore, the...
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Format: | Article |
Language: | English |
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Bucharest University of Economic Studies
2015-03-01
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Series: | Database Systems Journal |
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Online Access: | http://www.dbjournal.ro/archive/18/18_1.pdf |
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author | Janina POPEANGA |
author_facet | Janina POPEANGA |
author_sort | Janina POPEANGA |
collection | DOAJ |
description | Energy management systems from Romania do not have the capabilities of energy specific management due to lack of technology for real-time monitoring. As was the case in many other countries, the advent of smart metering technology will increase the level of energy data significantly. Therefore, the purpose of this paper is to present solutions that need to be taken to solve problems linked with the increasing amount of data recorded by sensors.
For a better demonstration of theoretical elements exposed, we considered a data warehouse specific to utility companies.
Section 2 of this article defines the three widely used parallel data warehouse architectures, while in Section 3 we clarify what architecture is suited to develop a data warehouse in the cloud. In the last part we transposed our tables in a "shared-nothing" architecture, trying to analyze queries performance. |
first_indexed | 2024-03-12T06:34:24Z |
format | Article |
id | doaj.art-b3f8ea91a64043d688c403ef6c837f1b |
institution | Directory Open Access Journal |
issn | 2069-3230 2069-3230 |
language | English |
last_indexed | 2024-03-12T06:34:24Z |
publishDate | 2015-03-01 |
publisher | Bucharest University of Economic Studies |
record_format | Article |
series | Database Systems Journal |
spelling | doaj.art-b3f8ea91a64043d688c403ef6c837f1b2023-09-03T01:25:55ZengBucharest University of Economic StudiesDatabase Systems Journal2069-32302069-32302015-03-01V4311'Shared-Nothing' Cloud Data Warehouse ArchitectureJanina POPEANGA0Bucharest Academy of Economic StudiesEnergy management systems from Romania do not have the capabilities of energy specific management due to lack of technology for real-time monitoring. As was the case in many other countries, the advent of smart metering technology will increase the level of energy data significantly. Therefore, the purpose of this paper is to present solutions that need to be taken to solve problems linked with the increasing amount of data recorded by sensors. For a better demonstration of theoretical elements exposed, we considered a data warehouse specific to utility companies. Section 2 of this article defines the three widely used parallel data warehouse architectures, while in Section 3 we clarify what architecture is suited to develop a data warehouse in the cloud. In the last part we transposed our tables in a "shared-nothing" architecture, trying to analyze queries performance.http://www.dbjournal.ro/archive/18/18_1.pdfShared-nothing architectureData WarehouseReplicationDistributionCloud |
spellingShingle | Janina POPEANGA 'Shared-Nothing' Cloud Data Warehouse Architecture Database Systems Journal Shared-nothing architecture Data Warehouse Replication Distribution Cloud |
title | 'Shared-Nothing' Cloud Data Warehouse Architecture |
title_full | 'Shared-Nothing' Cloud Data Warehouse Architecture |
title_fullStr | 'Shared-Nothing' Cloud Data Warehouse Architecture |
title_full_unstemmed | 'Shared-Nothing' Cloud Data Warehouse Architecture |
title_short | 'Shared-Nothing' Cloud Data Warehouse Architecture |
title_sort | shared nothing cloud data warehouse architecture |
topic | Shared-nothing architecture Data Warehouse Replication Distribution Cloud |
url | http://www.dbjournal.ro/archive/18/18_1.pdf |
work_keys_str_mv | AT janinapopeanga sharednothingclouddatawarehousearchitecture |