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Scalefree Knowledge Webinars Data Vault Friday Data Vault Point In Time (PIT) Tables

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In our continuing series, our CEO, Michael Olschimke, delves into a thought-provoking question raised by an audience member:

“I’m trying to grasp why the majority of Point-In-Time (PIT) table illustrations do not incorporate tracking satellites to accurately reconstruct the timeline for a business key. For example, I have three snapshots for business key 001 stored in satellite1. This seems inaccurate as the record was deleted from the source. Why does this prevail?”

Michael engages in a detailed discussion on the concepts of Point-In-Time (PIT) and Effectivity Satellites, shedding light on the importance of incorporating tracking satellites for maintaining data integrity and timeline accuracy in data warehousing practices.

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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The Data Vault Handbook is an accessible introduction to Data Vault. Designed for data practitioners, this guide provides a clear and cohesive overview of Data Vault principles.

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