Download e-book for kindle: A Course in In-Memory Data Management: The Inner Mechanics by Hasso Plattner
By Hasso Plattner
Recent achievements in and software program improvement, resembling multi-core CPUs and DRAM capacities of a number of terabytes in step with server, enabled the advent of a progressive know-how: in-memory facts administration. This know-how helps the versatile and very speedy research of huge quantities of firm information. Professor Hasso Plattner and his learn crew on the Hasso Plattner Institute in Potsdam, Germany, were investigating and educating the corresponding suggestions and their adoption within the software program for years.
This e-book relies on a web direction that was once first introduced in autumn 2012 with greater than 13,000 enrolled scholars and marked the winning start line of the openHPI e-learning platform. The direction is especially designed for college kids of laptop technological know-how, software program engineering, and IT comparable matters, yet addresses company specialists, software program builders, know-how specialists, and IT analysts alike. Plattner and his staff specialise in exploring the interior mechanics of a column-oriented dictionary-encoded in-memory database. coated subject matters comprise - among others - actual facts garage and entry, simple database operators, compression mechanisms, and parallel sign up for algorithms. past that, implications for destiny company purposes and their improvement are mentioned. step-by-step, readers will comprehend the novel alterations and benefits of the recent expertise over conventional row-oriented, disk-based databases.
In this thoroughly revised 2nd version, we comprise the suggestions of millions after all contributors on openHPI and bear in mind most up-to-date developments in tough- and software program. greater figures, motives, and examples extra ease the knowledge of the recommendations offered. We introduce complicated facts administration ideas corresponding to obvious mixture caches and supply new showcases that show the possibility of in-memory databases for 2 various industries: retail and existence sciences.
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Extra info for A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases
Thus, all analyses performed by the in-memory database are running on a server landscape in the IT department while the mobile application is the remote user interface for it. Having the flexibility to request arbitrary analyses and getting the results within milliseconds back to the mobile application makes in-memory technology a perfect technology for the requirements of physicians. Furthermore, the mobility aspect bridges the gap between the IT department where data is stored and the physician that visits multiple work places throughout the hospital every day.
Random-access memory cells are divided into SRAM (Static Random Access Memory) and DRAM (Dynamic Random Access Memory) from an electrotechnical design perspective. SRAM cells are usually built out of six transistors per data bit (variants with only four exist but have major disadvantages [MSMH08]) and can store a stable state as long as power is supplied. Accessing the stored state requires raising the word access line and the state is immediately available for reading. In contrast, DRAM cells can be constructed using a much simpler structure consisting of only one transistor and a capacitor per data bit.
It replaces magnetic tapes as the slowest storage medium. Located on the next level, Flash is significantly faster than a traditional disk, but still used like one from a software perspective because of its persistence and usage characteristics. This means that the same block oriented input and output methods developed more than 20 years ago for disks are still used for flash. In order to fully utilize the speed of flash based storage the interfaces and drivers need to be adapted accordingly. 4 Changes in Hardware Performance 28 CPU Registers CPU Caches Main Memory Hard Disk Capacity Flash Fig.
A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases by Hasso Plattner