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  • 1
    Online-Ressource
    Online-Ressource
    Amsterdam :Morgan Kaufmann, | Waltham, MA :Morgan Kaufmann, an imprint of Elsevier,
    UID:
    almafu_9958086745802883
    Umfang: 1 online resource (xxiii, 346 pages) : , illustrations (some color)
    Ausgabe: 1st edition
    ISBN: 9780124059207 , 0124059201
    Serie: The Morgan Kaufmann Series on Business Intelligence
    Inhalt: "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"--
    Anmerkung: Description based upon print version of record. , Machine generated contents note: Part 1 - Big Data Chapter 1 - Introduction to Big Data Chapter 2 - Complexity of Big Data Chapter 3 - Big Data Processing Architectures Chapter 4 - Big Data Technologies Chapter 5 - Big Data Business Value Part 2 - The Data Warehouse Chapter 6 - Data Warehouse Chapter 7 - Re-Engineering the Data Warehouse Chapter 8 -Workload Management in the Data Warehouse Chapter 9 - New Technology Approaches Part 3 - Extending Big Data into the Data Warehouse Chapter 10 - Integration of Big Data and Data Warehouse Chapter 11 - Data Driven Architecture Chapter 12 - Information Management and Lifecycle Chapter 13 - Big Data Analytics, Visualization and Data Scientist Chapter 14 - Implementing The "Big Data" Data Warehouse Appendix A - Customer Case Studies From Vendors Appendix B - Building The HealthCare Information Factory. , English
    Weitere Ausg.: ISBN 9780124058910
    Weitere Ausg.: ISBN 0124058914
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Buch
    Buch
    Amsterdam [u.a.] :Elsevier / Morgan Kaufmann,
    UID:
    almahu_BV041227941
    Umfang: XXIII, 346 S. : , Ill., graph. Darst.
    ISBN: 978-0-12-405891-0
    Anmerkung: Includes bibliographical references and index
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Data-Warehouse-Konzept ; Big Data
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Online-Ressource
    Online-Ressource
    Paolo Alto, Calif. :ebrary. | Burlington :Elsevier Science,
    UID:
    almahu_BV041193250
    Umfang: 1 Online-Ressource (XXIII, 346 S.).
    Ausgabe: Online-Ausgabe 2013
    ISBN: 978-0-12-405920-7 , 978-0-12-405891-0
    Serie: The Morgan Kaufmann Series on Business Intelligence
    Inhalt: Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing Data Warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author, Krish Krishnan will help you make sense of how Big Data fits into the world of Data Warehousing in clear and concise detail. You'll learn what you need to know about your infrastructure options and integration and come away with a solid understanding of how to leverage various architectures for integration. This book includes severa
    Anmerkung: Available via World Wide Web
    Weitere Ausg.: Reproduktion von Krishnan, Krish Data Warehousing in the Age of Big Data 2013
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Data-Warehouse-Konzept ; Big Data
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    Online-Ressource
    Online-Ressource
    Amsterdam :Morgan Kaufmann,
    UID:
    almahu_9948318735702882
    Umfang: xxiii, 346 p. : , col. ill.
    Ausgabe: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Inhalt: "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"--
    Anmerkung: Machine generated contents note: Part 1 - Big Data Chapter 1 - Introduction to Big Data Chapter 2 - Complexity of Big Data Chapter 3 - Big Data Processing Architectures Chapter 4 - Big Data Technologies Chapter 5 - Big Data Business Value Part 2 - The Data Warehouse Chapter 6 - Data Warehouse Chapter 7 - Re-Engineering the Data Warehouse Chapter 8 -Workload Management in the Data Warehouse Chapter 9 - New Technology Approaches Part 3 - Extending Big Data into the Data Warehouse Chapter 10 - Integration of Big Data and Data Warehouse Chapter 11 - Data Driven Architecture Chapter 12 - Information Management and Lifecycle Chapter 13 - Big Data Analytics, Visualization and Data Scientist Chapter 14 - Implementing The "Big Data" Data Warehouse Appendix A - Customer Case Studies From Vendors Appendix B - Building The HealthCare Information Factory.
    Sprache: Englisch
    Schlagwort(e): Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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