A Course in In-Memory Data Management
The Inner Mechanics of In-Memory Databases
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Latest achievements in hard and software development enabled the introduction of a revolutionary technology to support flexible and extremely fast analysis of massive amounts of enterprise data: in-memory data management. Professor Hasso Plattner and his research team at the Enterprise Platform and Integration Concepts group at HPI-Potsdam have been teaching trends and concepts in the software industry for years. This book is based on the first free publicly available online course at the openHPI online e-learning platform, which was launched in autumn 2012 with great success. This book and it...
Latest achievements in hard and software development enabled the introduction of a revolutionary technology to support flexible and extremely fast analysis of massive amounts of enterprise data: in-memory data management. Professor Hasso Plattner and his research team at the Enterprise Platform and Integration Concepts group at HPI-Potsdam have been teaching trends and concepts in the software industry for years.
This book is based on the first free publicly available online course at the openHPI online e-learning platform, which was launched in autumn 2012 with great success. This book and its underlying course are designed for students of computer science, software engineering, and IT related subjects. However, it addresses business experts, decision makers, software developers, technology experts, and IT analysts as well. They focus on exploring the inner mechanics of a column-oriented dictionary-encoded in-memory database. Beyond that, its implications for future enterprise applications and their development are discussed. Readers are lead to understand the radical differences and advantages to traditional row-oriented disk-based databases for OLAP and OLTP that result in a spectacular outperformance of the new in-memory technology.
This book is based on the first free publicly available online course at the openHPI online e-learning platform, which was launched in autumn 2012 with great success. This book and its underlying course are designed for students of computer science, software engineering, and IT related subjects. However, it addresses business experts, decision makers, software developers, technology experts, and IT analysts as well. They focus on exploring the inner mechanics of a column-oriented dictionary-encoded in-memory database. Beyond that, its implications for future enterprise applications and their development are discussed. Readers are lead to understand the radical differences and advantages to traditional row-oriented disk-based databases for OLAP and OLTP that result in a spectacular outperformance of the new in-memory technology.