Why DV 2.0 is the best data model for automation | VaultSpeed

Why Data Vault 2.0 is the best data model for automation

On demand

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Many data teams worry that automation won’t work on their specific data and technology stack. They’ve learned the hard way that automation doesn’t always stand up to the complexity of different source data models, taxonomies and tech stack components.

Join this webinar to understand how Data Vault 2.0 is designed to focus on models and logic, not complex code, so that it’s rapidly becoming the DWH standard.

We’ll explain how Data Vault has taken the best of the more traditional modeling approaches, such as Inmon or Kimball, to provide the level of abstraction, quality and agility that automation requires.

You’ll learn how the Data Vault model and its methodology and architecture leverage automation. And how we use integration templates based on Data Vault standards to pave the way to fully automated data loading.

This webinar takes you from theory to practice.

  • The pros and cons of different data modeling techniques.
  • The prerequisites for automation.
  • Why Data Vault works best.
  • How to create abstractions in data warehousing.
  • Demo: how it’s applied in VaultSpeed.
Watch the recorded webinar


Michael Olshimke

Michael Olschimke is the co-founder and one of the Chief Executive Officers (CEO) of Scalefree, a leading IT consultancy firm in data warehousing, business intelligence and big data. He co-authored the book “Building a scalable data warehouse with Data Vault 2.0.”

Jonas De Keuster

Jonas De Keuster is VP Product Marketing at VaultSpeed. He had close to 10 years of experience as a DWH consultant in various industries like banking, insurance, healthcare, and HR services, before joining the company. This background allows him to help understand current customer needs and engage in conversations with members of the data industry.

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