1. Introduction to Data Vault
Brian Bradley
Introduction to Data Vault

2. What is Data Vault

3. Data Vault Key Concepts
Ensemble Modelling and ELM (Entity Logical Model)
Core Business Concepts
Natural Business Relationships
The Ensemble
Model Storming
Prototyping
Release
Modelling

4. Data Vault Key Concepts
Tracking History:
History Tables
SQL Server Temporal Tables
Model Storming
Prototyping
Release
Modelling

5. Data Vault Key Concepts
Hubs, Links and Satellites Hub: Business Key / Surrogate Link: Relationship Satellite: Collection of Attributes

6. The Various Flavours of Data Vault
CDVDM
DV2.0
Anchor Modelling (Lars Ronnback)
Hyper Normalisation
Focal Point

7. Tools for Building Data Vaults
Wherescape:
Data Vault Express
Variegence:
BIML Express (Free)
BIML Studio
BIMLFlex
SSIS
T/SQL
Azure SQL Database
Azure SQL Data Warehouse

8. SQL Server and Data Vault

9. Sourcing Data
SSIS (BIML)
Replication
Linked Servers
Azure Data Factory

10. Staging Data Key Lookup / Key Generation (Hashing) Data Loading / Merging

11. Getting Data Out of the Vault

12. Virtual Layer
Presentable
Maybe Cached
Manage Security
SSAS / SSRS
PowerBI and Similar Tools

13. Why Build a Data Vault?

14. Why Build a Data Vault?
Supports Incremental Building
Elegant Integration
Highly Automatable
Technology Agnostic

15. Inmon - a subject oriented, nonvolatile, integrated, time variant collection of data in support of management's decisions.

16. Data Vault Training:
Books:
Modelling the Agile Data Warehouse with Data Vault (Hans Hultgren)
Building a Scalable Data Warehouse with Data Vault 2.0 (Daniel Linstedt and Michael Olschimke)
Tools
Brian Bradley

17. Thanks to all sponsors