top of page
DVUG Meetup Image (1).jpg

Torsten Glunde

Data Vault and Machine Learning – does it fit together?

Torsten Glunde explored the compatibility of Data Vault and Machine Learning in a model-driven architecture, emphasising the automation and operationalisation potential for machine learning models, including feature management, algorithms, parameters, and training scores.

Thinking Icon White (1).png

​

Thinking Icon White (1).png

​

Thinking Icon White (1).png

​

Introducing the Presenter

Torsten Glunde

CEO at Alligator Company

Torsten is an analyst and consultant specialising in Data Vault solutions, database technologies and data modelling.

He is the founder and CEO of Alligator Company GmbH - a consultancy that supports clients in implementing Data Vault and dbt data solutions.

​

​

Read the Blog in Full

Download Your FREE Slides Now


Please note that by downloading these slides, you join our Data Community. We encourage you to join our forum and we may send occasional emails of the latest news, updates, and insights from the community.




Related Content

5 most common challenges with Data Vault modelling

From modelling complexity to integration overhead, recurring Data Vault challenges reveal where architecture decisions most affect long-term maintainability.

More

Accelerate your Data Vault journey with the power of erwin Suite

Using the erwin Suite, organisations can speed up Data Vault adoption through automated design, stronger governance controls and more efficient modelling workflows.

More

Agile building of Information using Data Vault 2.0

Applying agile principles to Data Vault 2.0 supports incremental delivery of structured information while maintaining governance and architectural consistency.

More
bottom of page