Why Data Vault is the best model for data warehouse automation

Download the whitepaper

Understand the automation potential of the different modeling approaches

Setting up & maintaining a data warehouse without automation is a Sisyphean task. Learn the automation limitations of data modeling approaches such as Inmon and Kimball, and why the Data Vault 2.0 model offers comparative advantages.

In this whitepaper you’ll learn:

  • the pros and cons of different data modeling approaches
  • why the pattern-based design of Data Vault 2.0 facilitates enterprise data warehouse (EDW) automation
  • how to apply simplification to get quality output

About the author

Michael Olschimke co-authored the book “Building a scalable data warehouse with Data Vault 2.0,” which explains the concepts of Data Vault 2.0, a methodology to deliver high-performance, next-generation data warehouses. He 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.

Michael Olschimke CEO Scalefree 1600px zw

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