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Scalefree Knowledge Webinars Data Vault Friday PIT Table Structure in Data Vault

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In our continuous Data Vault Friday series, our CEO Michael Olschimke engages with an insightful question from our audience.

“Is it possible to add business keys and/or descriptive attributes to a Point-in-Time (PIT) table to improve performance when filtering or joining data in the information mart?”

In this concise yet informative video, Michael delves into the consideration of enhancing the performance of filtering or joining data in the Information Mart by incorporating business keys and descriptive attributes into a PIT table. The question prompts a discussion on the circumstances and scenarios where denormalizing these elements into a PIT table may be beneficial.

Michael shares practical insights and considerations, providing clarity on when and how the inclusion of business keys and descriptive attributes in a PIT table can contribute to improved performance in data retrieval and analysis within the Information Mart.

Meet the Speaker

Profile picture of Michael Olschimke

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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