第 1 节：课程概述

1. 欢迎词和课程目标
2. Overview of Business Intelligence (BI)
3. The role of BI in large-scale projects
4. Key BI challenges in Oil & Gas

Session 2: Data Warehousing Fundamentals

1. What is a Data Warehouse?
2. Benefits of data warehousing for project management
3. Data warehousing architecture and best practices

Session 1: The Kimball Methodology

1. Introduction to Kimball’s Dimensional Modeling
2. Core concepts: Facts, dimensions, and star schemas
3. How Kimball’s methodology supports real-world BI needs in large projects

Session 2: Dimensional Modeling for Complex Projects

1. Designing fact tables and dimension tables
2. Handling multiple fact tables and bridge tables
3. Dealing with slowly changing dimensions (SCD)

Session 3: ETL Processes and Data Integration

1. Extract, Transform, Load (ETL) overview
2. Managing data integration from multiple systems
3. Ensuring data quality in Oil & Gas and projects

1. Creating data warehouses for performance tracking
2. Building reports and dashboards for project insights
3. Case studies: Success stories in BI application 

Session 1: Advance BI techniques for Data warehousing

1. Optimizing query performance and load times
2. Managing large data volumes in real-time
3. 规划和实施风险应对：实际案例。
4. BI scalability for future project demands 

Session 1: Workshop

1. Hands-on exercises in dimensional modeling
2. Building a data warehouse from scratch
3. Real-world applications in Oil/Gas