Understanding and adopting the Data Vault for better data management

The Data Vault is a data modeling method that is gaining in popularity in the world of enterprise analytics. According to the “Data Warehouse and Data Vault Adoption Trends” report by Kevin Petrie and Herbert Stauffer (2023), a greater proportion of leading companies are adopting the Data Vault, adhering to its standards and intending to expand their use [1].

The Data Vault is a data modeling method that focuses on data longevity and flexibility. It is designed to adapt to changes in the data's original systems and to facilitate the integration of new data sources [2].

Yet Data Vault adoption is low

Despite its advantages, adoption of the Data Vault remains relatively low compared to other approaches such as third normal form and star schema. This may be explained by the fact that many practitioners and data managers feel that they are not sufficiently familiar with the Data Vault technique and methodology [1].

However, those who have adopted the Data Vault appreciate its benefits. According to Petrie and Stauffer's report, Data Vault users appreciate its ability to accelerate data delivery and grow with the business [1]. What's more, they plan to expand their use of this data modeling method.

Worth the investment

To effectively adopt the Data Vault, companies need to invest in training their teams on the Data Vault 2.0 solution and automate its processes with commercial tools [1]. Automation can help improve data quality, standardize and reuse tasks, and speed up data delivery [3].

In conclusion, the Data Vault is a promising data modeling method that can help companies improve their data management. To get the most out of it, companies need to invest in training, automation and adherence to Data Vault standards.

Our Training section can help you find the right training to learn more about the Data Vault.

References :

[1]: Petrie, K., & Stauffer, H. (2023). Data Warehouse and Data Vault Adoption Trends.

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

[3]: Hughes, J. (2009). Agile Data Warehousing: Delivering World-Class Business Intelligence Systems Using Scrum and XP. iUniverse.

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