Tag: dimensional modeling
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Who needs SCDs, anyway?
Not implementing slowly changing dimensions (SCDs) in a data warehouse can lead to several risks, including: Implementing SCDs is crucial for maintaining the integrity and usefulness of a data warehouse, especially for businesses that rely on historical data for analytics and decision-making processes¹². (1) Implementing Slowly Changing Dimensions (SCDs) in Data Warehouses. https://www.sqlshack.com/implementing-slowly-changing-dimensions-scds-in-data-warehouses/.(2) Slowly Changing…
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Different types of SCDs
Slowly Changing Dimensions (SCDs) are methods used in data warehousing to manage and track changes in dimension data over time. There are several types of SCDs, each handling changes in different ways: Each type has its use cases depending on the business requirements and how the historical data should be preserved and analyzed. Source: Conversation…
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Go with the grain.
Determining fact granularity in dimensional modeling involves several key steps to ensure that your data warehouse can effectively support business processes and decision-making. Here’s a concise guide to help you through the process: By carefully determining the granularity of your fact tables, you can capture data at the most detailed level possible, which provides flexibility…