Authors:
- Presents the inner mechanics of an in-memory database
- Includes 34 learning units with more than 100 self-tests and comprehensive explanation
- Explains a major new development in enterprise computing
- Includes supplementary material: sn.pub/extras
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Table of contents (36 chapters)
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Front Matter
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The Future of Enterprise Computing
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Front Matter
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Foundations of Database Storage Techniques
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Front Matter
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In-Memory Database Operators
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Front Matter
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About this book
Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of enterprise data. Professor Hasso Plattner and his research group at the Hasso Plattner Institute in Potsdam, Germany, have been investigating and teaching the corresponding concepts and their adoption in the software industry for years.
This book is based on an online course that was first launched in autumn 2012 with more than 13,000 enrolled students and marked the successful starting point of the openHPI e-learning platform. The course is mainly designed for students of computer science, software engineering, and IT related subjects, but addresses business experts, software developers, technology experts, and IT analysts alike. Plattner and his group focus on exploring theinner mechanics of a column-oriented dictionary-encoded in-memory database. Covered topics include - amongst others - physical data storage and access, basic database operators, compression mechanisms, and parallel join algorithms. Beyond that, implications for future enterprise applications and their development are discussed. Step by step, readers will understand the radical differences and advantages of the new technology over traditional row-oriented, disk-based databases.
In this completely revised 2nd edition, we incorporate the feedback of thousands of course participants on openHPI and take into account latest advancements in hard- and software. Improved figures, explanations, and examples further ease the understanding of the concepts presented. We introduce advanced data management techniques such as transparent aggregate caches and provide new showcases that demonstrate the potential of in-memory databases for two diverse industries: retail and life sciences.
Authors and Affiliations
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Enterprise Platform and Integration Concepts, Hasso Plattner Institute, Potsdam, Germany
Hasso Plattner
About the author
Bibliographic Information
Book Title: A Course in In-Memory Data Management
Book Subtitle: The Inner Mechanics of In-Memory Databases
Authors: Hasso Plattner
DOI: https://doi.org/10.1007/978-3-642-55270-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-55269-4Published: 11 June 2014
Softcover ISBN: 978-3-662-51208-1Published: 17 September 2016
eBook ISBN: 978-3-642-55270-0Published: 28 May 2014
Edition Number: 2
Number of Pages: XXIII, 312
Number of Illustrations: 63 b/w illustrations, 62 illustrations in colour
Topics: IT in Business, Database Management, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet)