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Data Vault 2.0
The best practice standard for Data Warehousing

Build a data driven business

Unlock the potential of your data with Data Warehousing that’s predictable, repeatable and scalable.

DVA Data Vault solves your data warehouse challenges

The challenges with traditional data warehousing methods

Traditional Enterprise Data Warehouses (EDWs) offer a highly governed and structured approach but rely on fragile design and modelling methods which makes them ‘personnel heavy’ and slow to respond to modern business needs. The larger the business, and the older the warehouse, the greater the complexity to maintain BAU.

Faced with today’s big data challenges, many traditional EDWs are struggling to keep up with the continual new and changing demands of the businesses they serve.

Data Vault 2.0 - A Different Approach

Data Vault 2.0: A different approach

The Data Vault 2.0 methodology (DV2) is different from traditional approaches in that it offers the ability to support managed self-service business intelligence with both governance and agility. It achieves this by de-coupling your business rules from the underlying datasets.

As a result, when your business changes, or you want to test, model or query, you can easily adjust the rules and quickly generate the insights you need. This is a stark contrast from traditional processes that bake the business rules into the data as it’s loaded and, therefore, lose the original data.

The Data Vault 2.0 System Of Business Intelligence is ground-breaking - again!
It incorporates concepts from massively parallel architectures, Big Data, real-time and unstructured data.

The four elements of the Data Vault

  • Architecture
    Data Vault includes several architectures: people, process, and technology are integrated with a focus on agile systems delivery. It is vital to understand teaming components along with big data, and process designs in order to build a scalable architecture.
  • Model
    There are several models applied in the Data Vault landscape: process models, data models, information models, knowledge models, taxonomies and ontologies. The Data Vault leverages all models to create a successful and agile environment.
  • Methodology
    The Data Vault methodology combines Disciplined Agile Delivery with Kanban, six sigma, TQM, CMMI level 5 optimisations for a best of breed strategy. The methodology is a well-refined set of best practices that guide your teams to success quickly.
  • Implimentation
    Implementation is embedded in the methodology and brings process flows, use-case strategies, automation, and generation capabilities. As a result, there is little to no re-engineering when the business changes its mind. Truly a one-of-a-kind world-leading strategy for build-out.
Become a Certified Data Vault 2.0 Expert

Become a Certified Data Vault 2.0 Expert

Attend one of our three-day live and interactive training courses to become a certified Data Vault 2.0 practitioner. This online class offers a solid foundation of material for the well-rounded practitioner and is targeted at everyone who needs to be involved in the Data Vault programme and projects.

Certification in Data Vault 2.0 demonstrates that you are well briefed in the standards, methods, architecture, and design of end-to-end data warehouses for a corporate level.

Recent resources


Introduction to Data Vault from Dan Linstedt

Data Vault inventor Dan Linstedt outlines the Data Vault philosophy, why it’s relevant and how it will support enterprise businesses into the future.


Data Vault Masterclass: Compliance & Data Vault

Nols Ebersohn discusses the regulatory compliance challenges that Australian businesses need to be aware of, and how Data Vault can help address them.


Is Your Organization Ready for Data Vault?

Join Data Vault 2.0 Inventor Dan Linstedt and WhereScape for this webcast recording detailing the benefits of Data Vault 2.0 for organisations.

Learn more about the DVA

Get in touch with us today if you would like to learn more about the DVA and how to get involved.