A Course in In-memory Data Management: The Inner Mechanics of In-memory Databases - Hardcover

Críticas

From the reviews:

“I would recommend it primarily to database practitioners and database implementers seeking to better understand the physical layer of in-memory database systems. ... The material will be of interest to database developers interested in physical-layer implementation. It may also be of some interest to application developers working with in-memory databases, particularly SanssouciDB.” (S. Thomas, Computing Reviews, September, 2013)

Reseña del editor

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 the first online course on the openHPI e-learning platform, which was launched in autumn 2012 with more than 13,000 learners. The book is 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 alike. Plattner and his group focus on exploring the inner 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. Readers are lead to understand the radical differences and advantages of the new technology over traditional row-oriented disk-based databases.