No More Auto Aggregations in Dimension Tables
Are you an avid user of auto aggregations in dimension tables? Time to rethink your strategy! This informative post sheds light on why auto aggregations should be avoided, and what alternatives exist to achieve better performance in dimension tables.
The post highlights how a common pitfall in data modeling is creating a dimension table with an auto aggregation function, leading to a loss of granularity and distorted insights. While initially a time-saver, auto aggregations can lead to inaccurate and incomplete data. Instead, the article suggests the adoption of traditional aggregation techniques, such as the sum, average, max, and min functions, with more expressiveness and flexibility.
If you're looking to optimize performance in your dimension tables, this post is worth checking out. It goes beyond the limitations of auto aggregations and offers practical advice on how to achieve cleaner and more robust data modeling.
The post No More Auto Aggregations in Dimension Tables first appeared on Excelerator BI.
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