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Recent advancements in hardware and software, including multi-core CPUs and terabyte-scale DRAM, have led to the groundbreaking technology of in-memory data management, enabling rapid analysis of vast enterprise data. Professor Hasso Plattner and his research team at the Hasso Plattner Institute in Potsdam, Germany, have been at the forefront of exploring and teaching these concepts. This book is derived from an online course launched in 2012, which attracted over 13,000 students and initiated the openHPI e-learning platform. While primarily aimed at computer science and software engineering students, it also caters to business experts, software developers, and IT analysts. The focus is on the mechanics of a column-oriented, dictionary-encoded in-memory database, covering topics such as physical data storage, basic database operators, compression techniques, and parallel join algorithms. Additionally, it examines the implications for future enterprise applications. Readers will learn the significant advantages of this new technology compared to traditional row-oriented, disk-based databases. This revised 2nd edition incorporates feedback from course participants and reflects the latest hardware and software advancements, with improved figures and examples for better comprehension. It also introduces advanced data management techniques and showcases the potential of in-memory databases in retail and life sciences.
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A course in in-memory data management, Hasso Plattner
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- Année de publication
- 2014
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