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In our continuous series, CEO Michael Olschimke delves into a question from the audience:

“In many data sources we get data with a DATE data type. In some cases we want to use a Time-Dimension for this fields. How would you model this in Data Vault:
– As Time-Hub in Raw Vault and referencing that Hub in a Link?
– As Time-Reference Table and then joining that in the IM? Should the Time Dimension hold a Hash Key as Dimension Key for that, or the Business Key (date)?
– Or both options?”

The viewer raises a pertinent query regarding the modeling of DATE data types from various sources within the Data Vault framework. The focus is on incorporating a Time-Dimension for these date fields, presenting multiple options for consideration.

Michael explores potential solutions, shedding light on two prominent strategies:

Time-Hub in Raw Vault: Creating a dedicated Time-Hub in the Raw Vault and referencing it in a Link. This approach involves establishing a distinct hub for time-related data, providing a structured foundation for subsequent processing.

Time-Reference Table in Information Mart (IM): Alternatively, considering a Time-Reference Table in the IM and joining it as needed. The discussion delves into the nuances of choosing between a Hash Key and Business Key (date) for the Time Dimension, offering insights into the implications of each choice.

Michael’s insights provide valuable guidance for navigating the complexities of modeling date dimensions within the Data Vault paradigm. By weighing the pros and cons of different approaches, viewers gain a deeper understanding of how to effectively integrate time-related data into their Data Vault 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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