Introduction to Data Vault Brian Bradley Introduction to Data Vault

What is Data Vault

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

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

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

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

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

SQL Server and Data Vault

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

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

Getting Data Out of the Vault

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

Why Build a Data Vault?

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

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

Data Vault Training: http://geneseeacademy.com/ http://learndatavault.com/ http://www.dataengineers.co.nz/ 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 https://www.varigence.com/ https://www.wherescape.com/solutions/automation-software/data-vault-express/ http://ode.ninja/ Brian Bradley bbradley_nz@yahoo.co.uk

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