Why Data Vault is the best model for data warehouse automation

Name: Leap Forward
Price range: $

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

Spread the word

More like this

Resources whitpapers Comparing DV2 final 513px

Whitepapers

Data lake vs data warehouse. Is there a middle ground?

Data warehouse or data lakes? Must you choose between speed and reliability? Or is there a happy middle ground? This whitepaper outlines your options to help you make the right choice.

Articles

Data lake vs. data warehouse.

Use this buyer’s guide to choose the right solution for your business now — and three years from now.You will evaluate seven significant areas: scope, standardization, productivity, agility, output quality, extensibility, and operational costs.

Whitepapers

Automation Buyer's Guide

Seven key criteria to choose the right automation solution.