Oracle Database Performance and Scalability: A Quantitative Approach (Quantitative Software Engineering Series)

The innovative performance and scalability features with each newer edition of the Oracle database system can present challenges for users. This book teaches software developers and students how to effectively deal with Oracle performance and scalability issues throughout the entire life cycle of developing Oracle-based applications. Using real-world case studies to deliver key theories and concepts, the book introduces highly dependable and ready-to-apply performance and scalability optimization techniques, augmented with Top 10 Oracle Performance and Scalability Features as well as a supplementary support website.

HENRY H. LIU, PHD, is a Software Developer specializing in developing distributed, high performing, scalable enterprise software products using Java technologies. He is a certified Sun Enterprise Java Architect, IBM XML Developer, and Microsoft .Net Developer. Prior to becoming a software engineer, he had a physicist career and published over 30 research papers in physics while working in the national labs of China, France, Germany, and the United States. His honors include being the author of the highly acclaimed Software Performance and Scalability: A Quantitative Approach (Wiley, 2009),  an Alexander von Humboldt Research Fellow in Germany, and a  CMG 2004 Best Paper Award recipient for applying queuing theory to analyzing software performance. Dr. Liu enjoys writing to help software developers learn new, usable skills fast.