About this book series
This book series presents selected research results in the context of In-Memory Data Management. The volumes in this series describe research results in in-memory database technology, logical and physical data management, software architectures, real-time analysis
of enterprise data, innovative new business applications, and influenced business processes. In addition, programming models and software engineering techniques, tools, and benchmarks are elaborated on and discussed. All books are introduced by a member of the editorial board, who outlines the popular context and the social relevance of each work.
Globally, companies generate a steadily increasing amount of data, day after day. This data is obtained to optimize logistics, create knowledge, explore business relationships, and to improve management decisions. The trend towards acquiring more and more data, also known as "big data," requires fundamental support in data analysis. In-Memory Technology – the common theme in all volumes of this series – has become a de facto standard for fulfilling new requirements that are stated towards enterprise applications.
- Electronic ISSN
- 2196-8063
- Print ISSN
- 2196-8055
- Series Editor
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- Hasso Plattner
Book titles in this series
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High-Performance In-Memory Genome Data Analysis
How In-Memory Database Technology Accelerates Personalized Medicine
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Benchmarking Transaction and Analytical Processing Systems
The Creation of a Mixed Workload Benchmark and its Application
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