ERP data archiving - a critical analysis
ERP (enterprise resource planning) systems run on top of database systems, like Oracle, SQL Server and DB2. The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases...
Ausführliche Beschreibung
Gespeichert in:
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2004 |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Reproduktion: |
Emerald Fulltext Archive Database 1994-2005 |
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| Übergeordnetes Werk: |
In: Journal of enterprise information management - Bradford : Emerald, 2004, 17(2004), 2, Seite 131-141 |
| Übergeordnetes Werk: |
volume:17 ; year:2004 ; number:2 ; pages:131-141 ; extent:11 |
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| DOI / URN: |
10.1108/17410390410518772 |
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NLEJ219594511 |
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| 520 | |a ERP (enterprise resource planning) systems run on top of database systems, like Oracle, SQL Server and DB2. The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases grow, performance, the time it takes to complete transactions, is adversely affected. This implies that limiting the amount of data stored on an ERP system is an essential element of proper storage and data management. However, removing data from an ERP system can be a complex and risky task. Archiving ERP data is an area of academic and professional research that has had minimal attention. This paper examines the issues and provides insight into solutions associated with archiving ERP data. The issues are explored by summarizing the limited background and research in the archiving area, followed by an overview of the methodology used to arrive at the case study approach used to gather the data. Case data are presented from three different large corporate environments and the results of the data are used to recommend an archiving strategy that other companies can follow. A discussion of the implications of the proposed archiving strategy for future use and research concludes the paper. | ||
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10.1108/17410390410518772 doi (DE-627)NLEJ219594511 DE-627 ger DE-627 rakwb eng XA-GB ERP data archiving - a critical analysis 2004 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier ERP (enterprise resource planning) systems run on top of database systems, like Oracle, SQL Server and DB2. The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases grow, performance, the time it takes to complete transactions, is adversely affected. This implies that limiting the amount of data stored on an ERP system is an essential element of proper storage and data management. However, removing data from an ERP system can be a complex and risky task. Archiving ERP data is an area of academic and professional research that has had minimal attention. This paper examines the issues and provides insight into solutions associated with archiving ERP data. The issues are explored by summarizing the limited background and research in the archiving area, followed by an overview of the methodology used to arrive at the case study approach used to gather the data. Case data are presented from three different large corporate environments and the results of the data are used to recommend an archiving strategy that other companies can follow. A discussion of the implications of the proposed archiving strategy for future use and research concludes the paper. Emerald Fulltext Archive Database 1994-2005 Data storage Databases Mensching, James oth Corbitt, Gail oth In Journal of enterprise information management Bradford : Emerald, 2004 17(2004), 2, Seite 131-141 Online-Ressource (DE-627)NLEJ219577919 (DE-600)2144850-4 nnns volume:17 year:2004 number:2 pages:131-141 extent:11 http://dx.doi.org/10.1108/17410390410518772 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 17 2004 2 131-141 11 |
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10.1108/17410390410518772 doi (DE-627)NLEJ219594511 DE-627 ger DE-627 rakwb eng XA-GB ERP data archiving - a critical analysis 2004 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier ERP (enterprise resource planning) systems run on top of database systems, like Oracle, SQL Server and DB2. The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases grow, performance, the time it takes to complete transactions, is adversely affected. This implies that limiting the amount of data stored on an ERP system is an essential element of proper storage and data management. However, removing data from an ERP system can be a complex and risky task. Archiving ERP data is an area of academic and professional research that has had minimal attention. This paper examines the issues and provides insight into solutions associated with archiving ERP data. The issues are explored by summarizing the limited background and research in the archiving area, followed by an overview of the methodology used to arrive at the case study approach used to gather the data. Case data are presented from three different large corporate environments and the results of the data are used to recommend an archiving strategy that other companies can follow. A discussion of the implications of the proposed archiving strategy for future use and research concludes the paper. Emerald Fulltext Archive Database 1994-2005 Data storage Databases Mensching, James oth Corbitt, Gail oth In Journal of enterprise information management Bradford : Emerald, 2004 17(2004), 2, Seite 131-141 Online-Ressource (DE-627)NLEJ219577919 (DE-600)2144850-4 nnns volume:17 year:2004 number:2 pages:131-141 extent:11 http://dx.doi.org/10.1108/17410390410518772 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 17 2004 2 131-141 11 |
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10.1108/17410390410518772 doi (DE-627)NLEJ219594511 DE-627 ger DE-627 rakwb eng XA-GB ERP data archiving - a critical analysis 2004 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier ERP (enterprise resource planning) systems run on top of database systems, like Oracle, SQL Server and DB2. The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases grow, performance, the time it takes to complete transactions, is adversely affected. This implies that limiting the amount of data stored on an ERP system is an essential element of proper storage and data management. However, removing data from an ERP system can be a complex and risky task. Archiving ERP data is an area of academic and professional research that has had minimal attention. This paper examines the issues and provides insight into solutions associated with archiving ERP data. The issues are explored by summarizing the limited background and research in the archiving area, followed by an overview of the methodology used to arrive at the case study approach used to gather the data. Case data are presented from three different large corporate environments and the results of the data are used to recommend an archiving strategy that other companies can follow. A discussion of the implications of the proposed archiving strategy for future use and research concludes the paper. Emerald Fulltext Archive Database 1994-2005 Data storage Databases Mensching, James oth Corbitt, Gail oth In Journal of enterprise information management Bradford : Emerald, 2004 17(2004), 2, Seite 131-141 Online-Ressource (DE-627)NLEJ219577919 (DE-600)2144850-4 nnns volume:17 year:2004 number:2 pages:131-141 extent:11 http://dx.doi.org/10.1108/17410390410518772 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 17 2004 2 131-141 11 |
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10.1108/17410390410518772 doi (DE-627)NLEJ219594511 DE-627 ger DE-627 rakwb eng XA-GB ERP data archiving - a critical analysis 2004 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier ERP (enterprise resource planning) systems run on top of database systems, like Oracle, SQL Server and DB2. The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases grow, performance, the time it takes to complete transactions, is adversely affected. This implies that limiting the amount of data stored on an ERP system is an essential element of proper storage and data management. However, removing data from an ERP system can be a complex and risky task. Archiving ERP data is an area of academic and professional research that has had minimal attention. This paper examines the issues and provides insight into solutions associated with archiving ERP data. The issues are explored by summarizing the limited background and research in the archiving area, followed by an overview of the methodology used to arrive at the case study approach used to gather the data. Case data are presented from three different large corporate environments and the results of the data are used to recommend an archiving strategy that other companies can follow. A discussion of the implications of the proposed archiving strategy for future use and research concludes the paper. Emerald Fulltext Archive Database 1994-2005 Data storage Databases Mensching, James oth Corbitt, Gail oth In Journal of enterprise information management Bradford : Emerald, 2004 17(2004), 2, Seite 131-141 Online-Ressource (DE-627)NLEJ219577919 (DE-600)2144850-4 nnns volume:17 year:2004 number:2 pages:131-141 extent:11 http://dx.doi.org/10.1108/17410390410518772 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 17 2004 2 131-141 11 |
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ERP (enterprise resource planning) systems run on top of database systems, like Oracle, SQL Server and DB2. The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases grow, performance, the time it takes to complete transactions, is adversely affected. This implies that limiting the amount of data stored on an ERP system is an essential element of proper storage and data management. However, removing data from an ERP system can be a complex and risky task. Archiving ERP data is an area of academic and professional research that has had minimal attention. This paper examines the issues and provides insight into solutions associated with archiving ERP data. The issues are explored by summarizing the limited background and research in the archiving area, followed by an overview of the methodology used to arrive at the case study approach used to gather the data. Case data are presented from three different large corporate environments and the results of the data are used to recommend an archiving strategy that other companies can follow. A discussion of the implications of the proposed archiving strategy for future use and research concludes the paper. |
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ERP (enterprise resource planning) systems run on top of database systems, like Oracle, SQL Server and DB2. The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases grow, performance, the time it takes to complete transactions, is adversely affected. This implies that limiting the amount of data stored on an ERP system is an essential element of proper storage and data management. However, removing data from an ERP system can be a complex and risky task. Archiving ERP data is an area of academic and professional research that has had minimal attention. This paper examines the issues and provides insight into solutions associated with archiving ERP data. The issues are explored by summarizing the limited background and research in the archiving area, followed by an overview of the methodology used to arrive at the case study approach used to gather the data. Case data are presented from three different large corporate environments and the results of the data are used to recommend an archiving strategy that other companies can follow. A discussion of the implications of the proposed archiving strategy for future use and research concludes the paper. |
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ERP (enterprise resource planning) systems run on top of database systems, like Oracle, SQL Server and DB2. The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases grow, performance, the time it takes to complete transactions, is adversely affected. This implies that limiting the amount of data stored on an ERP system is an essential element of proper storage and data management. However, removing data from an ERP system can be a complex and risky task. Archiving ERP data is an area of academic and professional research that has had minimal attention. This paper examines the issues and provides insight into solutions associated with archiving ERP data. The issues are explored by summarizing the limited background and research in the archiving area, followed by an overview of the methodology used to arrive at the case study approach used to gather the data. Case data are presented from three different large corporate environments and the results of the data are used to recommend an archiving strategy that other companies can follow. A discussion of the implications of the proposed archiving strategy for future use and research concludes the paper. |
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The longer these systems are in place within organizations the larger the databases are. Some sources estimate that corporate databases double or triple in size every year. As these databases grow, performance, the time it takes to complete transactions, is adversely affected. This implies that limiting the amount of data stored on an ERP system is an essential element of proper storage and data management. However, removing data from an ERP system can be a complex and risky task. Archiving ERP data is an area of academic and professional research that has had minimal attention. This paper examines the issues and provides insight into solutions associated with archiving ERP data. The issues are explored by summarizing the limited background and research in the archiving area, followed by an overview of the methodology used to arrive at the case study approach used to gather the data. Case data are presented from three different large corporate environments and the results of the data are used to recommend an archiving strategy that other companies can follow. A discussion of the implications of the proposed archiving strategy for future use and research concludes the paper.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Emerald Fulltext Archive Database 1994-2005</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data storage</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Databases</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mensching, James</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Corbitt, Gail</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Journal of enterprise information management</subfield><subfield code="d">Bradford : Emerald, 2004</subfield><subfield code="g">17(2004), 2, Seite 131-141</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ219577919</subfield><subfield code="w">(DE-600)2144850-4</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:17</subfield><subfield code="g">year:2004</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:131-141</subfield><subfield code="g">extent:11</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1108/17410390410518772</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-EFD</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">17</subfield><subfield code="j">2004</subfield><subfield code="e">2</subfield><subfield code="h">131-141</subfield><subfield code="g">11</subfield></datafield></record></collection>
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