A Course in In-Memory Data Management by Hasso Plattner

By Hasso Plattner

​-Presents the internal mechanics of an in-memory database
-Includes 34 studying devices with greater than a hundred self-tests and accomplished explanation
-Explains a massive new develoment in firm computing

Recent achievements in and software program improvement, reminiscent of multi-core CPUs and DRAM capacities of a number of terabytes in line with server, enabled the advent of a innovative know-how: in-memory information administration. This know-how helps the versatile and intensely speedy research of big quantities of company info. Professor Hasso Plattner and his learn staff on the Hasso Plattner Institute in Potsdam, Germany, were investigating and educating the corresponding thoughts and their adoption within the software program for years.

This ebook is predicated at the first on-line direction at the openHPI e-learning platform, which was once introduced in autumn 2012 with greater than 13,000 beginners. The booklet is designed for college students of desktop technological know-how, software program engineering, and IT comparable topics. besides the fact that, it addresses enterprise specialists, choice makers, software program builders, expertise specialists, and IT analysts alike. Plattner and his workforce concentrate on exploring the interior mechanics of a column-oriented dictionary-encoded in-memory database. coated issues contain - among others - actual info garage and entry, easy database operators, compression mechanisms, and parallel subscribe to algorithms. past that, implications for destiny firm purposes and their improvement are mentioned. Readers are bring about comprehend the novel adjustments and benefits of the recent know-how over conventional row-oriented disk-based databases.

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Extra info for A Course in In-Memory Data Management

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Examples of structured data are results of the erythrogram, blood pressure, temperature measurements, or the patient’s gender. The in-memory technology enables the combination of both classes of patient data with additional external sources, such as clinical trials, pharmacological combinations or side-effects. As a result, physicians can prove their hypotheses by interactively combing data and reduce necessary manual and time-consuming searches. Physicians are able to access all relevant patient data and to take their decision on latest available patient details.

J. Hosseini, A novel zero-aware fourtransistor SRAM cell for high density and low power cache application, in International Conference on Advanced Computer Theory and Engineering, ICACTE ’08, pp. 571–575 (2008) [SKP12] D. Schwalb, J. Krueger, H. Plattner, Cache conscious column organization in inmemory column stores. Technical Report 60, Hasso-Plattner-Institute, December 2012 Chapter 5 A Blueprint of SanssouciDB SanssouciDB is a prototypical database system for unified analytical and transactional processing.

Compression Factor What is the average compression factor for accounting data in an in-memory column-oriented database? (a) (b) (c) (d) 100x 10x 50x 5x 14 2 New Requirements for Enterprise Computing 2. Data explosion Consider the formula 1 race car tracking example, with each race car having 512 sensors, each sensor records 32 events per second whereby each event is 64 byte in size. How much data is produced by a F1 team, if a team has two cars in the race and the race takes 2 h? For easier calculation, assume 1,000 byte = 1 kB, 1,000 kB = 1 MB, 1,000 MB = 1 GB.

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