Oracle Database Performance and Scalability: A Quantitative Approach

丛 书 名：Quantitative Software Engineering Series

作     者：Henry H. Liu 

I S B N：(纸本) 9781118056998 

出 版 社：IEEE 

出 版 年：2012年

页      数：xxxiii, 697 p. :页

主 题 词：Database management. 

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

摘      要：A data-driven, fact-based, quantitative text on Oracle performance and scalability With database concepts and theories clearly explained in Oracles context, readers quickly learn how to fully leverage Oracles performance and scalability capabilities at every stage of designing and developing an Oracle-based enterprise application. The book is based on the authors more than ten years of experience working with Oracle, and is filled with dependable, tested, and proven performance optimization techniques. Oracle Database Performance and Scalability is divided into four parts that enable readers to progressively learn and apply new skills: Part 1, Getting Started with Oracle, describes how to set up a working Oracle environment, offering a quick tour to illustrate major database concepts Part 2, Oracle Architecture from Performance and Scalability Perspectives, explains all the major database concepts and architectural features that readers need to know to optimize Oracle performance and scalability Part 3, Optimizing Oracle Performance and Scalability, offers hands-on instructions to optimize and fine-tune performance and scalability for all database applications Part 4, Case Studies: Oracle Meeting Real-World Performance and Scalability Challenges, sets forth quantitative case studies based on the authors first-hand experience that demonstrate how readers can apply proven techniques to dramatically improve the performance and scalability of actual database products In addition to case studies, this book offers a detailed secure online banking application as an example, making it possible for readers to fully explore Oracles performance and scalability features on their own. Oracle Database Performance and Scalability is an ideal text for pre-conditioning college students and training software developers.