- Tapa dura: 304 páginas
- Editor: Springer; Edición: 2nd ed. 2012 (14 de mayo de 2012)
- Idioma: Inglés
- ISBN-10: 3642295746
- ISBN-13: 978-3642295744
- Valoración media de los clientes: Sé el primero en opinar sobre este producto
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- n.° 1814 en Libros en idiomas extranjeros > Informática, internet y medios digitales > Hardware y dispositivos portátiles
- n.° 2636 en Libros en idiomas extranjeros > Informática, internet y medios digitales > Bases de datos
- n.° 2982 en Libros en idiomas extranjeros > Ciencias, tecnología y medicina > Matemáticas > Matemáticas aplicadas
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In-Memory Data Management: Technology and Applications (Inglés) Tapa dura – 14 may 2012
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Descripción del producto
int GmbH, Hamburg, Germany)
It rarely happens that a emerging new technology can be seen as a “game changer” for a whole industry. But I think this is the case when it comes to in-memory database systems. Tasks which took hours or days can now be executed in seconds which is the technical foundation for establishing completely new business ideas. It dramatically speeds up the execution time of data analytics and thereby creates a much greater experience for the end user on our Bigpoint Gaming Platform. The book “In-Memory Data Management – Technology and Applications” from Hasso Plattner and Alexander Zeier describes not only the technical foundations but also the implications for new exciting applications.
Dr. Ralf Schneider (CIO, Allianz SE, Munich, Germany)
Being IT savvy and leveraging advances in Information Technology is the most important competitive advantage in today's business world. I see in-memory technology as described in the book "In-Memory Data Management - Technology and Applications" from Plattner and Zeier as one of the most important innovations in the field of IT. The value for the economy as a whole far outweighs the effort of adapting the applications to this new standard. It dramatically speeds up the execution time of business processes, it allows for significantly more detailed and real-time data analytics and thereby creates a much greater experience for the end user. It brings business computing to a level where it is absolutely snappy and fun to work with.
Reseña del editor
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.Ver Descripción del producto
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Dumped the kindle version and ordered the paper version.
It is not quite as simple as that. IMDM spends a lot of time (and more detail than most readers would probably want) explaining how to adapt data structures and squeeze the database into memory and retool queries as stored procedures.
The book revolves around a system called SansSouciDB (SSDB), as used in SAP's `Hana' appliance (Oil ITJ December 2010). SSDB stores active data in `compressed columns' in memory. External (disk) is reserved for logging and recovery purposes and to query historical data. SSDB makes use of parallel processing, across blades and across cores. Test target architecture included high end blades each with 64 cores and 2 terabytes memory per blade. Uses cases are briefly presented--one for smart grid meter data, another for real time sensor net/RFID data streams.
Sometimes IMDM's scope is bewildering. What is that Microsoft Surface doing there? Why so much on specific Intel Nehalem architectures, on virtualization and even `big data' and cloud computing. The authors appear not to leave any trendy IT stone unturned, ensuring that the marketing message for `in memory' resonates in every ear. Could SSDB include an element of FUD*?
A better title for this book might have been adapting and optimizing databases to novel architectures. But this in a sense would be giving the game away. Modern architectures, as we saw in our review of Pete Pacheco's introduction to parallel programming (April 2011), far from offering straightforward performance hikes to either seismic imaging or relational databases, actually require a retooling of the system, application and likely the user code to realize the full potential of the hardware. At one level, IMDM can be seen as an interesting discussion on how to build and run a fast database and will be of interest to technologists. On the other hand, it does a good job of debunking the notion that `in memory,' at least with current architectures, is a straightforward route to performance. Sans souci (French for `no worries') it is not!
* Fear uncertainty and doubt.
This review originally appeared in Oil IT Journal - oilit.com