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OVERVIEWThis class is a 2-day intensive course. This class continues where the CDVP2 Boot Camp stops – the use of the Data Vault 2.0 model to deliver information. It discusses how to implement business logic in the Business Vault and how to derive various target models from the enterprise data warehouse, including star schemas, snowflake schemas and fully denormalized information...

OVERVIEW This class is a 2-day intensive course that builds on top of the Data Vault 2.0 Boot Camp. Therefore, the attendance of the Data Vault 2.0 Boot Camp is a requirement for this class. A passed CDVP2 certification is not required but strongly recommended. The objective of this class is to provide attendees the concepts of multi-temporal data warehousing and the...

OVERVIEWThis 1-day introductory class explains Data Vault 2.0 and all its pillars to a general audience. It helps business analysts and managers, involved in an agile data warehouse project based on Data Vault 2.0, to understand the principles and decisions made.This class generally helps to increase management support of Data Vault 2.0 projects by explaining concepts such as managed...

OVERVIEW Learning how to use Data Vault and become certified Discussing business justifications and technical descriptions of all pillars of Data Vault 2.0 Exploring the architecture, implementation, methodology, and modeling components of Data Vault 2.0 Understanding ETL design paradigms – working templates within conceptual and SQL formats Developing best practices for successful Data...

OVERVIEW Learning how to use Data Vault and become certified Discussing business justifications and technical descriptions of all pillars of Data Vault 2.0 Exploring the architecture, implementation, methodology, and modeling components of Data Vault 2.0 Understanding ETL design paradigms – working templates within conceptual and SQL formats Developing best practices for successful Data...

OVERVIEW Learning how to use Data Vault and become certified Discussing business justifications and technical descriptions of all pillars of Data Vault 2.0 Exploring the architecture, implementation, methodology, and modeling components of Data Vault 2.0 Understanding ETL design paradigms – working templates within conceptual and SQL formats Developing best practices for successful Data...