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In our ongoing series, CEO Michael Olschimke addresses a viewer’s question:
“We have a data mining model to be applied during information delivery. Where does it fit in the Data Vault 2.0 architecture?”
The viewer inquires about integrating a data mining model into the Data Vault 2.0 architecture specifically for information delivery. They seek guidance on where this data mining aspect fits within the broader Data Vault framework.
Michael delves into the topic of Data Mining in the context of Data Vault 2.0. He provides insights into the strategic placement of data mining models within the architecture, emphasizing their role in enhancing information delivery processes. Michael’s response sheds light on how organizations can effectively leverage data mining techniques to extract valuable insights while adhering to the principles of the Data Vault methodology.
This episode serves as a valuable resource for those navigating the intersection of data mining and Data Vault 2.0, offering practical guidance on seamlessly integrating data mining models into the architecture.
Meet the Speaker
Michael Olschimke
Michael has more than 15 years of experience in Information Technology. During the last eight years he has specialized in Business Intelligence topics such as OLAP, Dimensional Modelling, and Data Mining. Challenge him with your questions!
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