The Data Vault Handbook - Concepts and Applications

5. RESOURCES In this guide, we’ve focused on introducing the foundational concepts of Data Vault, providing a solid base for those new to the approach. However, there are several important topics that we have not covered in detail. Sub- jects such as testing, real-time implementation, naming conventions, addi- tional derived entities, requirement gathering, effort estimation, and the use of taxonomies and ontologies are equally crucial but fall beyond the scope of this introductory guide. For those interested in exploring these areas further, we recommend consulting the resources listed in the following sections. RESOURCES USED IN THE GUIDE

— Data Vault Book: Linstedt, D., & Olschimke, M. (2015). Building a Scalable Data Warehouse with Data Vault 2.0. Morgan Kaufmann.

— Scalefree Knowledge Hub: https://www.scalefree.com/knowledge/

— Scott Ambler Disciplined Agile material: https://scottambler.com/

OTHER RECOMMENDED RESOURCES

— Data Innovators Exchange: https://www.skool.com/data-innovators-exchange/

— Scrum: https://www.scrum.org/

— Data Vault Alliance: https://datavaultalliance.com/

— Scalefree Youtube Channel: https://www.youtube.com/@scalefreeCOM/

Do you have further questions? Reach out for a free initial consultation via info@scalefree.com.