This session: 14–18 Mar 2027
This Introduction to Data Warehousing: Concepts and Practices session in Istanbul (Turkey) runs from Sunday 14 March to Thursday 18 March 2027 (week 10, Q1 2027). It is the only date in Istanbul (Turkey) in 2027, at a fee of 4,900 £. Registration is open for this date. It is held in person.
| Dates | Sunday 14 Mar – Thursday 18 Mar 2027 |
|---|---|
| Week | 10 of 2027 |
| Duration | 5 days |
| Fee | 4,900 £ |
| Status | Open for registration |
| Format | In person |
Course Overview
Course Description
This comprehensive 1-week course introduces participants to the fundamental concepts and practices of data warehousing. Attendees will learn about data warehouse architecture, dimensional modeling, ETL processes, and business intelligence applications. The course combines theoretical knowledge with hands-on exercises to provide a solid foundation in data warehousing.
Learning Objectives
- Understand the core concepts and architecture of data warehouses
- Master dimensional modeling techniques for effective data organization
- Learn ETL processes for data integration and transformation
- Explore business intelligence applications and reporting tools
- Gain practical experience in designing and implementing a data warehouse
Course Modules
Day 1: Introduction to Data Warehousing
- Overview of data warehousing concepts
- Data warehouse architecture and components
- Comparison of OLTP and OLAP systems
- Business drivers for data warehousing
Day 2: Dimensional Modeling
- Introduction to dimensional modeling
- Fact tables and dimension tables
- Star schema and snowflake schema
- Slowly changing dimensions
Day 3: ETL Processes
- Overview of Extract, Transform, Load (ETL) processes
- Data extraction techniques
- Data transformation and cleansing
- Loading strategies and techniques
Day 4: Data Warehouse Implementation
- Choosing a data warehouse platform
- Physical design considerations
- Indexing and partitioning strategies
- Performance tuning and optimization
Day 5: Business Intelligence and Reporting
- Introduction to business intelligence
- OLAP and multidimensional analysis
- Reporting tools and dashboards
- Data visualization techniques
Practical Wins for Participants
- Ability to design a basic data warehouse schema
- Skills to implement simple ETL processes
- Knowledge to choose appropriate BI tools for reporting
- Capacity to contribute to data warehouse projects in their organization
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