• ВХОД
  •  

    Полное описание

    Plattner, H. In-Memory Data Management : an Inflection Point for Enterprise Applications / by Hasso Plattner, Alexander Zeier. - Berlin ; Heidelberg : Springer Berlin Heidelberg, 2011. - on-line. - URL: http://dx.doi.org/10.1007/978-3-642-19363-7. - Загл. с экрана. - ISBN 978-3-642-19363-7. - Текст : электронный.
    Содержание:
    Foreword by Prof. John L. Hennessy (Stanford University, California, USA) and Prof. David A. Patterson (University of California at Berkeley, USA). - Preface . – Introduction. - PART I – An Infl ection Point for Enterprise Applications . - 1 Desirability, Feasibility, Viability – The Impact of In-Memory . - 2 Why Are Enterprise Applications So Diverse? . - 3 SanssouciDB –Blueprint for an In-Memory Enterprise Database System . - PART II – SanssouciDB – A Single Source of Truth through In-Memory. - 4 The Technical Foundations of SanssouciDB . - 5 Organizing and Accessing Data in SanssouciDB -- PART III – How In-Memory Changes the Game . - 6 Application Development . - 7 Finally, a Real Business Intelligence System Is at Hand -- 8 Scaling SanssouciDB in the Cloud . - 9 The In-Memory Revolution Has Begun . - References . - Glossary . - Abbreviations . - Index.

    ГРНТИ УДК
    50.49005.5:004

    Рубрики:
    business
    information technology
    business -- Data processing.
    computer hardware
    computer graphics
    management information systems
    computer science
    applied mathematics
    engineering mathematics
    business and Management
    iT in Business
    management of Computing and Information Systems
    computer Hardware
    computer Imaging, Vision, Pattern Recognition and Graphics
    applMathematics/Computational Methods of Engineering

    Аннотация: In the last 50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing.
    Доп. точки доступа:
    Zeier, A.

    http://dx.doi.org/10.1007/978-3-642-19363-7


    Держатели документа:
    Государственная публичная научно-техническая библиотека России : 123298, г. Москва, ул. 3-я Хорошевская, д. 17 (Шифр в БД-источнике (KATBW): -537597831)

    Шифр в сводном ЭК: 6bb0ba889c6d1a81745efbd3008c9334



    Просмотр издания