Data Vault - introduction Training Course
By the end of this training, participants will be able to:
- Understand the architecture and design principles behind Data Vault 2.0
- Apply data vaulting techniques to enable auditing, tracing, and inspection of historical data within a data warehouse
- Develop a consistent and repeatable ETL (Extract, Transform, Load) process
Audience
- Data modelers
- Data warehousing specialists
- Business Intelligence specialists
- Data engineers
- Database administrators
Course Outline
Fundamentals
- What is a data warehouse? Is it the single source of truth, or the single source of falsehood?
- Common solutions: Popular schools of data warehouse implementation, their drawbacks, and the key problems to address. Can Data Vault provide a solution?
- Enterprise Data Warehouse: Definition and how the Data Vault concept aligns with it
- Team structure: 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: Immediate data availability through Report Marts and Flat Data
- Business support: Self-service capabilities for end users
Workshops
- Test database: Environment configuration for technical exercises
- Analysis: Preliminary Enterprise Data Warehouse design based on the test database
- ETL: Developing data loading procedures for the created structures
Automation
- Automated DV: Automating the Data Vault loading process
Requirements
There are no specific prerequisites required to attend this course.
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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.
Vorraluck Sarechuer - Total Access Communication Public Company Limited (dtac)
Course - Talend Open Studio for ESB
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