New PDF release: A Course in In-Memory Data Management: The Inner Mechanics

By Hasso Plattner

Recent achievements in and software program improvement, similar to multi-core CPUs and DRAM capacities of a number of terabytes in keeping with server, enabled the advent of a innovative know-how: in-memory facts administration. This expertise helps the versatile and very quick research of huge quantities of firm information. Professor Hasso Plattner and his examine workforce on the Hasso Plattner Institute in Potsdam, Germany, were investigating and instructing the corresponding techniques and their adoption within the software program for years.

This publication is predicated on an internet direction that was once first introduced in autumn 2012 with greater than 13,000 enrolled scholars and marked the winning place to begin of the openHPI e-learning platform. The direction is especially designed for college kids of laptop technology, software program engineering, and IT comparable topics, yet addresses enterprise specialists, software program builders, know-how specialists, and IT analysts alike. Plattner and his staff concentrate on exploring the interior mechanics of a column-oriented dictionary-encoded in-memory database. coated issues comprise - among others - actual facts garage and entry, uncomplicated database operators, compression mechanisms, and parallel subscribe to algorithms. past that, implications for destiny company functions and their improvement are mentioned. step-by-step, readers will comprehend the novel changes and benefits of the hot expertise over conventional row-oriented, disk-based databases.

In this thoroughly revised 2nd version, we include the suggestions of millions in fact members on openHPI and take into consideration newest developments in difficult- and software program. greater figures, motives, and examples extra ease the knowledge of the strategies awarded. We introduce complicated information administration innovations akin to obvious combination caches and supply new showcases that exhibit the possibility of in-memory databases for 2 various industries: retail and lifestyles sciences.

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A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases by Hasso Plattner

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