In-Memory Data Management
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Abstract
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Suggested Citation
DOI: 10.1007/978-3-642-19363-7
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Citations
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Cited by:
- Tobias Knabke & Sebastian Olbrich, 2018. "Building novel capabilities to enable business intelligence agility: results from a quantitative study," Information Systems and e-Business Management, Springer, vol. 16(3), pages 493-546, August.
- Sebastian Büsch & Volker Nissen & Arndt Wünscher, 2017. "Automatic classification of data-warehouse-data for information lifecycle management using machine learning techniques," Information Systems Frontiers, Springer, vol. 19(5), pages 1085-1099, October.
- Andreas Fink & Natalia Kliewer & Dirk Mattfeld & Lars Mönch & Franz Rothlauf & Guido Schryen & Leena Suhl & Stefan Voß, 2014. "Model-Based Decision Support in Manufacturing and Service Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 17-24, February.
- Peter Loos & Jens Lechtenbörger & Gottfried Vossen & Alexander Zeier & Jens Krüger & Jürgen Müller & Wolfgang Lehner & Donald Kossmann & Benjamin Fabian & Oliver Günther & Robert Winter, 2011. "In-memory Databases in Business Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(6), pages 389-395, December.
- Sebastian Büsch & Volker Nissen & Arndt Wünscher, 0. "Automatic classification of data-warehouse-data for information lifecycle management using machine learning techniques," Information Systems Frontiers, Springer, vol. 0, pages 1-15.
- Martin Kowalczyk & Peter Buxmann, 2014. "Big Data and Information Processing in Organizational Decision Processes," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(5), pages 267-278, October.
Book Chapters
The following chapters of this book are listed in IDEAS- Hasso Plattner & Alexander Zeier, 2011. "Introduction," Springer Books, in: In-Memory Data Management, chapter 0, pages 1-4, Springer.
- Hasso Plattner & Alexander Zeier, 2011. "Desirability, Feasibility, Viability – The Impact of In-Memory," Springer Books, in: In-Memory Data Management, chapter 1, pages 7-23, Springer.
- Hasso Plattner & Alexander Zeier, 2011. "Why Are Enterprise Applications So Diverse?," Springer Books, in: In-Memory Data Management, chapter 2, pages 25-31, Springer.
- Hasso Plattner & Alexander Zeier, 2011. "SanssouciDB – Blueprint for an In-Memory Enterprise Database System," Springer Books, in: In-Memory Data Management, chapter 3, pages 33-40, Springer.
- Hasso Plattner & Alexander Zeier, 2011. "The Technical Foundations of SanssouciDB," Springer Books, in: In-Memory Data Management, chapter 4, pages 43-87, Springer.
- Hasso Plattner & Alexander Zeier, 2011. "Organizing and Accessing Data in SanssouciDB," Springer Books, in: In-Memory Data Management, chapter 5, pages 89-150, Springer.
- Hasso Plattner & Alexander Zeier, 2011. "Application Development," Springer Books, in: In-Memory Data Management, chapter 6, pages 153-169, Springer.
- Hasso Plattner & Alexander Zeier, 2011. "Finally, a Real Business Intelligence System Is at Hand," Springer Books, in: In-Memory Data Management, chapter 7, pages 171-192, Springer.
- Hasso Plattner & Alexander Zeier, 2011. "Scaling SanssouciDB in the Cloud," Springer Books, in: In-Memory Data Management, chapter 8, pages 193-204, Springer.
- Hasso Plattner & Alexander Zeier, 2011. "The In-Memory Revolution Has Begun," Springer Books, in: In-Memory Data Management, chapter 9, pages 205-209, Springer.
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