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Data warehousing advice for managers
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ISBN: 0585023255 9780585023250 081440409X Year: 1998 Publisher: [Place of publication not identified] AMACOM


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Inleiding : van prestatiemetingen naar integraal management van performance
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ISBN: 9789048608263 Year: 2011 Volume: 1 Publisher: Brugge Die Keure

Data modeling essentials
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ISBN: 1281020052 9786611020057 0080488676 9780080488677 1592782515 9781592782512 1417561564 9781417561568 0126445516 Year: 2005 Publisher: Amsterdam Mogan Kaufmann

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Data Modeling Essentials, Third Edition provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management.The third edition of this popular book retains its distinctive hallmarks of readability and usefulness, but has been given significantly ex


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Data warehousing in the age of big data
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ISBN: 9780124058910 0124059201 9780124059207 1299591914 9781299591912 0124058914 Year: 2013 Publisher: Amsterdam : Morgan Kaufmann,

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"In conclusion as you come to the end of this book, the concept of a Data Warehouse and its primary goal of serving the enterprise version of truth, and being the single platform for all the source of information will continue to remain intact and valid for many years to come. As we have discussed across many chapters and in many case studies, the limitations that existed with the infrastructures to create, manage and deploy Data Warehouses have been largely eliminated with the availability of Big Data technologies and infrastructure platforms, making the goal of the single version of truth a feasible reality. Integrating and extending Big Data into the Data Warehouse, and creating a larger decision support platform will benefit businesses for years to come. This book has touched upon governance and information lifecycle management aspects of Big Data in the larger program, however you can reuse all the current program management techniques that you follow for the Data Warehouse for this program and even implement agile approaches to integrating and managing data in the Data Warehouse. Technologies will continue to evolve in this spectrum and there will be more additions of solutions, which can be integrated if you follow the modular integration approaches to building and managing the Data Warehouse. The Appendix sections contain many more case studies and a special section on Healthcare Information Factory based on Big Data approaches. These are more guiding posts to help you align your thoughts and goals to building and integrating Big Data in your Data Warehouse"--


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Principles of big data : preparing, sharing, and analyzing complex information
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ISBN: 9780124045767 9780124047242 0124047246 0124045766 Year: 2013 Publisher: Amsterdam, Netherlands : Elsevier,

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Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are


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Performance management : van prestatiemeting naar prestatiemanagement door de toepassing van analytische intelligentie
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ISBN: 9789020976977 Year: 2008 Publisher: Leuven LannooCampus

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1. Behoefte aan een gestructureerde aanpak van kwantitatieve beleidsondersteuning ? - 2. Performance management-raamwerk - 3. Strategie - 4. Planning en budgettering - 5. Performance monitoring met behulp van de balanced scorecard - 6. Dashboards - 7. Geografische Informatie Systemen : beter GIS-sen dan missen - 8. Online analytical processing - 9. Rapportering - 10. Het vertalen van bedrijfsvraagstukken naar gegevensverwerking - 11. Data warehousing - 12. Extractie, transformatie, loading - 13. Performance management in de organisatie - 14. Naar een beter zicht op de toekomst, door een beter begrip van het heden op basis van inzichten uit het verleden

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