By: Barry Devlin, Founder & Principal, 9sight Consulting | September 14, 2017
Implementing a data warehouse has long involved treading a narrow line between data quality and business agility. In the early years of the new millennium, two separate approaches emerged that promised to square this circle: The Data Vault offered a new data model optimized for data warehouse agility, while Data Warehouse Automation provided an environment for faster and more reliable development.
While Data Vault has continued to gain supporters and now offers a development methodology, implementation challenges remain. Meeting the Six Data Vault Challenges outlines six common issues that businesses have encountered in the areas of initial acceptance, development, and ongoing evolution of a Data Vault-based data warehouse.