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In our ongoing series, our CEO Michael Olschimke discusses a question from the audience:

“Would a micro or mini batch refresh frequency in PIT tables of the data warehouse with subsequent aligned reporting yield multiple timestamps for a certain date in the snapshot control table?”

Michael goes on to explore the concept of multiple snapshots and how they can provide valuable insights into the evolution of data over time. By capturing snapshots at different points in time, organizations can gain a deeper understanding of trends, patterns, and anomalies within their data. This nuanced approach to data management can lead to more informed decision-making and improved overall performance.

Join us as we unravel the complexities of multiple snapshots and their impact on the data warehouse landscape.

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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