DATA STREAMS MANAGEMENT IN THE REAL-TIME DATA WAREHOUSE: FUNCTIONING OF THE DATA STREAMS PROCESSOR.
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| Title: | DATA STREAMS MANAGEMENT IN THE REAL-TIME DATA WAREHOUSE: FUNCTIONING OF THE DATA STREAMS PROCESSOR. |
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| Authors: | Shoaib, M.1 shoaibuet@hotmail.com, Majeed, F.1, Kalsoom, K.1, Majid, S.2, Mahmood, S.3 |
| Source: | Pakistan Journal of Science. Jun2011, Vol. 63 Issue 2, p42-49. 8p. |
| Subjects: | Real-time computing software, Data extraction, Data structures, Information storage & retrieval systems |
| Abstract: | Data stream applications are currently emerged as sources of Real Time Data Warehouse (RTDW) systems. Existing Extraction, Transformation and Loading (ETL) tools have not been crafted for fast, continuous and time-varying data streams. To address this, we have already proposed a framework of RTDW to efficiently capture process and load the data streams. This article provides technical architecture of Data Streams Processor, the main component of the framework. It discusses approximations in detail including data structures and processes to manage fast data streams in memory. Moreover, algorithm for approximations is presented and clarified with an example. Finally, Data Streams Processor is applied on a real-world case study. [ABSTRACT FROM AUTHOR] |
| Copyright of Pakistan Journal of Science is the property of Knowledge Bylanes and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 67351036 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: DATA STREAMS MANAGEMENT IN THE REAL-TIME DATA WAREHOUSE: FUNCTIONING OF THE DATA STREAMS PROCESSOR. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shoaib%2C+M%2E%22">Shoaib, M.</searchLink><relatesTo>1</relatesTo><i> shoaibuet@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Majeed%2C+F%2E%22">Majeed, F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kalsoom%2C+K%2E%22">Kalsoom, K.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Majid%2C+S%2E%22">Majid, S.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Mahmood%2C+S%2E%22">Mahmood, S.</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Pakistan+Journal+of+Science%22">Pakistan Journal of Science</searchLink>. Jun2011, Vol. 63 Issue 2, p42-49. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Real-time+computing+software%22">Real-time computing software</searchLink><br /><searchLink fieldCode="DE" term="%22Data+extraction%22">Data extraction</searchLink><br /><searchLink fieldCode="DE" term="%22Data+structures%22">Data structures</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Data stream applications are currently emerged as sources of Real Time Data Warehouse (RTDW) systems. Existing Extraction, Transformation and Loading (ETL) tools have not been crafted for fast, continuous and time-varying data streams. To address this, we have already proposed a framework of RTDW to efficiently capture process and load the data streams. This article provides technical architecture of Data Streams Processor, the main component of the framework. It discusses approximations in detail including data structures and processes to manage fast data streams in memory. Moreover, algorithm for approximations is presented and clarified with an example. Finally, Data Streams Processor is applied on a real-world case study. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Pakistan Journal of Science is the property of Knowledge Bylanes and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 42 Subjects: – SubjectFull: Real-time computing software Type: general – SubjectFull: Data extraction Type: general – SubjectFull: Data structures Type: general – SubjectFull: Information storage & retrieval systems Type: general Titles: – TitleFull: DATA STREAMS MANAGEMENT IN THE REAL-TIME DATA WAREHOUSE: FUNCTIONING OF THE DATA STREAMS PROCESSOR. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shoaib, M. – PersonEntity: Name: NameFull: Majeed, F. – PersonEntity: Name: NameFull: Kalsoom, K. – PersonEntity: Name: NameFull: Majid, S. – PersonEntity: Name: NameFull: Mahmood, S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 00309877 Numbering: – Type: volume Value: 63 – Type: issue Value: 2 Titles: – TitleFull: Pakistan Journal of Science Type: main |
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