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

By Hasso Plattner

Recent achievements in and software program improvement, comparable to multi-core CPUs and DRAM capacities of a number of terabytes in line with server, enabled the creation of a innovative know-how: in-memory info administration. This know-how helps the versatile and intensely quick research of big 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 strategies and their adoption within the software program for years.

This publication is predicated on an internet direction that used to be first introduced in autumn 2012 with greater than 13,000 enrolled scholars and marked the profitable start line of the openHPI e-learning platform. The path is especially designed for college students of desktop technology, software program engineering, and IT comparable matters, yet addresses company specialists, 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 themes contain - among others - actual information garage and entry, easy database operators, compression mechanisms, and parallel sign up for algorithms. past that, implications for destiny firm purposes and their improvement are mentioned. step-by-step, readers will comprehend the novel changes and benefits of the recent expertise over conventional row-oriented, disk-based databases.

In this thoroughly revised 2nd version, we include the suggestions of hundreds of thousands in fact contributors on openHPI and take into consideration most modern developments in difficult- and software program. superior figures, motives, and examples additional ease the certainty of the options provided. We introduce complex facts administration thoughts resembling obvious combination caches and supply new showcases that reveal the opportunity of in-memory databases for 2 varied industries: retail and lifestyles sciences.

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