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Course Outline
Fundamentals
- What is a data warehouse? A single source of truth or a single source of lies?
- Popular solutions: Common data warehouse implementation methodologies and their drawbacks. What problems need to be solved, and can Data Vault help?
- Enterprise Data Warehouse: What it is and how Data Vault fits into this concept.
- Teams: Data warehousing within an organization – roles and teams.
Data Vault
- Multidimensional model: Discussion of the star model in relation to the Data Vault layer.
- Reporting: Data at rest – Report marts and flat data.
- Business support: Self-service for consumers.
Workshops
- Test database: Configuring the environment for technical exercises.
- Analysis: Preliminary EDW design based on the test database.
- ETL: Creating data loading procedures for the designed structures.
Automation
- Automated Data Vault: Automating Data Vault loading.
Requirements
There are no specific requirements to attend this course.
14 Hours
Testimonials (2)
The variety of the information shared and the clarity to explain terms in plain English.
Arisbe Mendoza - Fairtrade International
Course - GDPR Workshop
It's a hands-on session.