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Utilizing Potentials of Data Vault 2.0 - Overcoming bad Practices
What are common mistakes when applying Data Vault 2.0 in enterprise data warehouse projects? Do you have questions regarding modeling in Data Vault and the realization of GDPR causes you great difficulties or is your project stuck because you are delivering no business value?
This webinar describes common Anti-patterns of Data Vault, their consequences and the solution to eliminate them from your current or in your future projects.
Tune in and learn more to avoid bad practices and apply simple solutions.

Find out more about our services: https://www.scalefree.com/
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Michael Olschimke
CEO & Co-Founder @Scalefree International GmbH
Michael has more than 20 years of experience in Information Technology. During the last eight years he has specialised in Business Intelligence topics such as OLAP, Dimensional Modelling, and Data Mining. He has consulted for a number of clients in the automotive, insurance, banking, and non-profit fields. His work includes research on massively parallel processing (MPP) systems for building artificial intelligence (AI) systems for the analysis of unstructured data. Michael holds a Master of Science in Information Systems from Santa Clara University in Silicon Valley, California. Michael is Chief Executive Officer (CEO) of Scalefree where he is responsible for the business direction of the company.