(WINTER 2010)

In this course, students learn about Oracle's Database partitioning architecture and identify the benefits of partitioning. Students also use parallel operations to reduce response time for data-intensive operations. Participants extract, transform, and load data into an Oracle database warehouse. Students also use materialized views to improve the data warehouse performance. Students also learn how query rewrite can improve a query's performance. Students use the SQL Access Advisor to optimize the entire workload. Finally, students learn how to tune materialized views for fast refresh and query rewrite and how to use the compression and resumable sessions features. Good working knowledge of SQL, data warehouse design, SQL and in data warehouse design and implementation. Ability to read and understand execution plans

Victor T. Wu, M.S., is a CTO and co-founder of EmpowerTrain, an Irvine-based company that offers high-end training on technologies including Oracle Database, Sun Solaris, Microsoft technologies. He has worked in the information systems field for the past 25 years as developer, information architect, director, and CIO. His expertise includes C++, Java programming, Oracle database and SQL Server development, high availability and performance tuning, Sun Solaris security and system tuning. He is frequently involved in large scale database and system tuning projects in San Francisco, Los Angeles, and San Diego. Wu is a UCLA graduate, Oracle Certified DBA, Oracle Certified Developer and holder of three Oracle Masters. Wu received UC Irvine Extension's Distinguished Instructor Award (2003) and UCLA Extension's Distinguished Instructor Award (2007).