Pedro Mejia Alvarez,Marcelo Leon Ayala,Susana Ortega Cisneros
Main Memory Management on Relational Database Systems
Main Memory Management on Relational Database Systems
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Excellent- More about Main Memory Management on Relational Database Systems
This book provides essential knowledge about main memory management in relational databases to support large-scale applications processed entirely in memory, with a focus on real-time predictability and high speed. It covers topics such as the memory system, memory management, virtual memory, and databases and their memory systems, and is complemented by a survey of six commercial systems.
Format: Paperback / softback
Length: 104 pages
Publication date: 13 August 2022
Publisher: Springer International Publishing AG
This comprehensive book delves into the intricate realm of main memory management in relational databases, a crucial aspect for supporting large-scale applications that require processing entirely in memory. In the fast-paced world of business operations, where real-time predictability and high speed are paramount, every opportunity must be seized to enhance performance. This includes reducing reliance on the hard disk, augmenting memory capacity to increase the amount of data residing in memory, and even implementing an in-memory system where all data can be stored and accessed effortlessly.
The book is organized into chapters, each dedicated to a key related topic. These chapters cover the memory system, memory management, virtual memory, and databases and their memory systems. To complement the theoretical discussions, a short survey of six commercial systems is included: TimesTen, MySQL, VoltDB, Hekaton, HyPer/ScyPer, and SAP HANA.
By exploring these topics in depth, this book equips readers with the essential knowledge and skills needed to optimize memory management in relational databases, enabling them to build robust and high-performance systems that can handle the demands of modern business applications. Whether you are a database administrator, software developer, or data analyst, this book is a valuable resource for anyone seeking to improve the performance and scalability of their database systems.
Weight: 197g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031132940
Edition number: 1st ed. 2022
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