Data warehouse – modeling and design

This is an introductory course that covers the basics of data warehouse. Participants will have the opportunity to get acquainted with the core components of architectural solutions. They will learn how to work with architecture patterns such as 3NF, star, and snowflake schemas, as well as with entities like Dimensions & Facts.

Considerable attention is given to describing Data Vault architecture, its components and comparative analysis.

• To familiarize participants with THE general concepts of data warehouses
• To analyze existing architectures
• To give an overview of THE advantages and disadvantages of current practices

• What is a data warehouse (DW)
• What can be a DW
• What cannot be a DW
• DW architecture
• Dimensions and Facts: definitions
• DW design patterns
• Types of dimensions
• Types of facts
• Data Vault architecture