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Hasso Plattner's A Course in In-Memory Data Management: The Inner Mechanics PDF

By Hasso Plattner

Recent achievements in and software program improvement, equivalent to multi-core CPUs and DRAM capacities of a number of terabytes in keeping with server, enabled the advent of a innovative expertise: in-memory info administration. This know-how helps the versatile and very quick research of huge quantities of company facts. Professor Hasso Plattner and his examine 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 e-book is predicated on a web direction that used to be 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 principally designed for college students of laptop technological know-how, software program engineering, and IT comparable matters, yet addresses enterprise specialists, software program builders, know-how specialists, and IT analysts alike. Plattner and his workforce specialize in exploring the interior mechanics of a column-oriented dictionary-encoded in-memory database. coated issues comprise - among others - actual info garage and entry, easy database operators, compression mechanisms, and parallel subscribe to algorithms. past that, implications for destiny firm functions and their improvement are mentioned. step-by-step, readers will comprehend the unconventional alterations and benefits of the hot know-how over conventional row-oriented, disk-based databases.

In this thoroughly revised 2nd version, we contain the suggestions of millions after all members on openHPI and consider newest developments in tough- and software program. more desirable figures, motives, and examples additional ease the certainty of the options provided. We introduce complicated facts administration suggestions equivalent to obvious combination caches and supply new showcases that show the potential for in-memory databases for 2 diversified industries: retail and existence 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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