In-Memory Data Management [electronic resource] : Technology and Applications /
Plattner, Hasso.author.
Zeier, Alexander.author.
In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. 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. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.         .
Description based upon print version of record.
Includes bibliographical references and index.
1. Introduction. Lloyd Strickland, Julia Weckend -- Section 1: Science. 2. Philosophy and science in Leibniz. Maria Rosa Antognazza -- 3. Between learned science and technical knowledge: Leibniz, Leeuwenhoek and the school for microscopists. Alessandro Becchi -- 4. Leibniz, organic matter and astrobiology. Richard T. W. Arthur -- Section 2: Metaphysics. 5. Plenitude and mirrors of God in Leibniz. Nicholas Jolley -- 6. As matter to form so passive to active? The irreducible metaphysics of Leibniz’s Dynamics. Tzuchien Tho -- 7. Conceptual analysis and ontology in the Leibniz – De Volder correspondence. Stefano di Bella -- Section 3: Epistemology. 8. Leibniz’s empirical, not empiricist methodology. Dale Jacquette -- 9. Leibniz on certainty. Julia Weckend -- 10. Leibniz and probability in the moral domain. Chris Meyns -- Section 4: Religion and Theology. 11. How Leibniz would have responded to the Lisbon earthquake. Lloyd Strickland -- 12. Leibniz on the efficacy and economy of divine grace. Agustín Echavarría -- 13. Eternal punishment, universal salvation and pragmatic theology in Leibniz. Paul Lodge -- Biographical conclusion. 14. In the “hinterland” of globalization? Leibniz and the European expansion. Michael Kempe -- Index.
In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. 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. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.         .
Information technology.
Business—Data processing.
Management information systems.
Computer science.
Computer hardware.
Optical data processing.
Applied mathematics.
Engineering mathematics.
IT in Business.
Management of Computing and Information Systems.
Computer Hardware.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Mathematical and Computational Engineering.