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In our ongoing Data Vault Friday series, our esteemed CEO, Michael Olschimke, tackles a compelling question raised by an engaged member of our audience.

“Let’s assume that DWH is fed from many source systems and one of them (some minor one, called ‘XYZ’) exports customer data identified by PERSONAL_ID (no other identifier available). We already have HUB_CUSTOMER based on some other customer identifier, and the PERSONAL_ID attribute is stored in SAT_CUSTOMER_PD. But there is one important thing regarding customer data, there are cases where multiple rows in HUB_CUSTOMER have the same PERSONAL_ID in mentioned satellite (which means, that some of the customers have been registered multiple times in our core systems).”

In this illuminating episode, Michael delves into the intricate scenario of integrating customer data from diverse sources, emphasizing the challenges posed by the absence of a unique identifier and the existence of duplicate entries. He articulates a strategic approach to address this nuanced issue within the Data Vault framework, providing practical insights and recommendations for achieving a coherent and accurate representation of customer information.

This discussion proves invaluable for data professionals navigating the complexities of consolidating diverse customer data sets with varying identifier structures.

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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