Pre-Requisites: Ability to read and understand execution plans. Good working knowledge of SQL and in data warehouse design and implementation.
You will learn to implement partitioning, use parallel operations to reduce response time, extract, Transform, and Load data, create, use, and refresh materialized views to improve the data warehouse performance, use Query rewrite to quickly answer business queries using materialized views and use SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite.
Participants learn about Oracle’s Database partitioning architecture and how to identify the benefits of partitioning in addition to using parallel operations to reduce response time for data-intensive operations. Participants extract, transform, and load data into an Oracle database warehouse. Participants also use materialized views to improve the data warehouse performance and learn how query rewrites can improve performance.
Introduction
Data Warehouse Design: Overview
Data Warehouse Tuning Considerations
Partitioning Basics
Parallelism Concepts
Parallel Operations in Data Warehouses
ETL: Extraction and Transportation
ETL: Loading
ETL: Transformation
Materialized Views
Refreshing Materialized Views
Working With Dimensions
Query Rewrite
Using the SQL Access Advisor, Compression, and Resumable Sessions
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