Lingua: Inglese
Editore: Editorial Academica Espanola, 2011
ISBN 10: 3846532045 ISBN 13: 9783846532041
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 56.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846532045 ISBN 13: 9783846532041
Da: preigu, Osnabrück, Germania
EUR 43,30
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Open Source Data Warehouse | Design a back-end tool using open-source technology for loading data into data warehouse from a number of data sources. | Ahsan Habib (u. a.) | Taschenbuch | 56 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846532041 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3846532045 ISBN 13: 9783846532041
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 49,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -To fulfill the objectives of data warehouse, a number of front-end tools and back-end tools are required. Front-end tools include analysis, OLAP queries, reporting, data mining etc, while back-end tools include data cleaning, data loading and refreshing etc. Vendor specific Structured Query Language (SQL) engines like Oracle, MS SQL Server, IBM DB2 provide data warehousing facility. However, small and medium enterprise cannot take the advantages of the vendor provided DBMS due to its high Total Cost of Ownership (TCO). As a result open-source SQL engines are becoming popular nowadays. But open-source SQL engines have still no generalized data warehousing facility. In this book it is shown that how to develop a back end tool for loading data into data warehouse from many sources using open source Structured Query Language (SQL) engine MySQL. In this book it is also shown that how to test data loading into data warehouse using the developed back-end tool where data sources are multiple operational MySQL data-bases connected through computer network or backup databases stored in non-volatile media like CD, VCD, pen drive etc. 56 pp. Englisch.
Lingua: Inglese
Editore: Editorial Academica Espanola, 2011
ISBN 10: 3846532045 ISBN 13: 9783846532041
Da: Majestic Books, Hounslow, Regno Unito
EUR 76,03
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 56 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Lingua: Inglese
Editore: Editorial Academica Espanola, 2011
ISBN 10: 3846532045 ISBN 13: 9783846532041
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,63
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 56.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846532045 ISBN 13: 9783846532041
Da: moluna, Greven, Germania
EUR 41,05
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Habib AhsanMr. Ahsan Habib, BSc in CSE, MSc in MIS, having 12 publications and working as Assistant Professor of Metropolitan University, Bangladesh,is interested in E-Governance and DBMS. Mr. Md. Masum Billah, BSc in CSE, MSc in IC.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3846532045 ISBN 13: 9783846532041
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 49,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -To fulfill the objectives of data warehouse, a number of front-end tools and back-end tools are required. Front-end tools include analysis, OLAP queries, reporting, data mining etc, while back-end tools include data cleaning, data loading and refreshing etc. Vendor specific Structured Query Language (SQL) engines like Oracle, MS SQL Server, IBM DB2 provide data warehousing facility. However, small and medium enterprise cannot take the advantages of the vendor provided DBMS due to its high Total Cost of Ownership (TCO). As a result open-source SQL engines are becoming popular nowadays. But open-source SQL engines have still no generalized data warehousing facility. In this book it is shown that how to develop a back end tool for loading data into data warehouse from many sources using open source Structured Query Language (SQL) engine MySQL. In this book it is also shown that how to test data loading into data warehouse using the developed back-end tool where data sources are multiple operational MySQL data-bases connected through computer network or backup databases stored in non-volatile media like CD, VCD, pen drive etc.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846532045 ISBN 13: 9783846532041
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - To fulfill the objectives of data warehouse, a number of front-end tools and back-end tools are required. Front-end tools include analysis, OLAP queries, reporting, data mining etc, while back-end tools include data cleaning, data loading and refreshing etc. Vendor specific Structured Query Language (SQL) engines like Oracle, MS SQL Server, IBM DB2 provide data warehousing facility. However, small and medium enterprise cannot take the advantages of the vendor provided DBMS due to its high Total Cost of Ownership (TCO). As a result open-source SQL engines are becoming popular nowadays. But open-source SQL engines have still no generalized data warehousing facility. In this book it is shown that how to develop a back end tool for loading data into data warehouse from many sources using open source Structured Query Language (SQL) engine MySQL. In this book it is also shown that how to test data loading into data warehouse using the developed back-end tool where data sources are multiple operational MySQL data-bases connected through computer network or backup databases stored in non-volatile media like CD, VCD, pen drive etc.