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In-Memory Data Management: Technology and Applications, by Hasso Plattner, Alexander Zeier
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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.
- Sales Rank: #415558 in eBooks
- Published on: 2012-04-17
- Released on: 2012-04-17
- Format: Kindle eBook
Review
Aus den Rezensionen: “... Erstmalig und umfassend zeigt ‚In Memory Data Management ... wie eine neue Datenbank Technologie Top Managern und Anwendern ... geschäftskritische Entscheidungserfindungen erleichtert ... richtet sich an Studenten, IT Experten und Manager, ist aber auch für Führungskräfte gedacht ...“ (in: E-3 Efficient Extended Enterprise, March/2011, S. 24)
Review
From the Back Cover
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.
Most helpful customer reviews
13 of 15 people found the following review helpful.
No trendy IT stone left unturned!
By MCNAUGHTON NEIL
`In Memory Data Management: An inflection point for the enterprise' (IMDM) by SAP's Hasso Plattner and Alexander Zeier is a curious read. Its starting point is the dichotomy between transactional databases and reporting/analytical systems. Historically, these have been kept separate for performance reasons. You don't want your transactional system to be brought to its knees by a query from an analyst. Another problem that arises in database analytics is that the `pure' relational model of linked tables and indexes can provide poor performance with joins across many tables. But systems are speeding up. Do we really need all this complexity of non relational systems duplicated for transactions and analytics? The thesis of IMDM is that modern systems are so powerful that you can realize database nirvana by running the database in memory. This database runs so fast that complex queries can proceed with little or no impact on the transactions. All you need is a fast machine with boatloads of fast RAM. One data base, one data model. Well, that is the theory.
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
5 of 6 people found the following review helpful.
Great contents. Kindle formatting is unreadable
By Kevin J. Rowett
Excellent content by dr. Platter. Kindle version is impossible to read. Bold font thruout. Text in the wrong place. Figures not tagged. Pages not formatted. Forward is al right justified, ragged left.
Dumped the kindle version and ordered the paper version.
KR
2 of 3 people found the following review helpful.
Kindle version is poorly formatted
By Kurt Grela
How this book was converted to Kindle is tragic: a great example of what not to do. Please reformat and send an update to all previous Kindle purchases. I'm unable to follow, read, and return the Kindle version of this book as it has been more than 7 days from purchase.
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