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In-Memory Data Management: Technology and Applications Hardcover – April 18, 2012

ISBN-13: 978-3642295744 ISBN-10: 3642295746 Edition: 2nd ed. 2012

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Editorial Reviews

Review

Prof. David Simchi-Levi (Massachusetts Institute of Technology, Cambridge, USA)

 

 The book "In-Memory Data Management - Technology and Applications" by Hasso Plattner and Alexander Zeier describes a revolutionary database technology and many implementation examples for business intelligence and operations. Of particular interest to me are the great opportunities opening up in supply chain management, where the need to balance the speed of planning algorithms with data granularity has been a long time obstacle to performance and usability.

 

 Prof. Karl Max Einhäupl (CEO, Charité -- Universitätsmedizin Berlin, Germany)

 

 Personalized health care requires the combination of distributed medical data. In-memory technology enables us to analyze millions of patient records within a second and allows us to devise therapies even closer to the patients individual needs than ever before.

 

Heiko Hubertz (CEO and Founder, Bigpoint 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.

 

 

From the Back Cover

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.

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Product Details

  • Hardcover: 267 pages
  • Publisher: Springer; 2nd ed. 2012 edition (April 18, 2012)
  • Language: English
  • ISBN-10: 3642295746
  • ISBN-13: 978-3642295744
  • Product Dimensions: 9.4 x 6.4 x 0.9 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #1,127,826 in Books (See Top 100 in Books)

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12 of 14 people found the following review helpful By MCNAUGHTON NEIL on July 24, 2011
Format: Hardcover
`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.
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5 of 6 people found the following review helpful By Kevin J. Rowett on February 15, 2013
Format: Kindle Edition Verified Purchase
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
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2 of 3 people found the following review helpful By Kurt Grela on July 1, 2013
Format: Hardcover Verified Purchase
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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3 of 5 people found the following review helpful By Sam Sliman, President, Optimal Solutions on July 23, 2012
Format: Hardcover
If you are looking to understand the next generation of information technology and the hype surrounding "Big Data", look no further than Hasso Plattner and Alexander Zeier's groundbreaking book, "In-Memory Data Management: Technology and Applications". As the authors demonstrate, processor power and memory capacity have reached inflection points where we can realistically envision a new world of applications built on in-memory technology that are capable of crunching massive amounts of data in real time. They articulate for us just how critical in-memory breakthroughs are to this next phase of technological progress and describe in fascinating detail the basic design of a prototype columnar storage database that makes use of advanced compression algorithms and multi-core processing to turbocharge both analytical and transaction processing systems. It is easy to envision the new world of enterprise, analytical, cloud and mobile applications that leverage in-memory technology to put information and insight into the hands of users instantaneously. And in 2012 few can disagree with the last chapter, "The In-Memory Revolution Has Begun", when you see the very real-life success of the SAP HANA platform that is based on the concepts in this revolutionary book. It should be required reading for anyone working at the intersection of business and technology today.
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0 of 2 people found the following review helpful By Philipp Louis Nell on October 4, 2012
Format: Hardcover
This book gives a more academic view on how IMDBMS can be implemented and what factors have to be kept in mind for a successful implementation of such a type of DBMS. These factors include internal software architecture, hardware aspects like CPU memory caching and how all components play together. IM computing is not just accessing data in RAM w/o external device access. It is much more, including strategies for parallelizing the access, workload distribution, memory management, efficient compression and decompression and why structures and data objects are designed in one way and not in another. It is like understanding how a B-Tree is working and why it was so successful as a data structure for indexation in RDBMSs. You (nearly) can't influence it from outside the RDBMS as a structure but understanding how it works helps you to use it better. For me, reading this book helped that IMDBMS loose some of the black box character they had to me before, how columnar data storage and access can be implemented and what additional aspects have to be kept in mind when dealing with it. Also of interest were the descriptions of how data manipulation can be implemented like inserts, deletes and updates and what the consequences on data management are (insert only, clean up & deltamerge). I also enjoyed the chapters about query processing strategies and operator processing in massive parallel environments and how workload balancing needs to be taken into account. Additional topics that are covered in the book are how a backup, restore and other house keeping jobs can be implemented.
This book is for people who want to see a little bit behind the scenes of how IMDBMS can be implemented and work internally.
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