What are the best strategies for optimizing queries with partitioning?
Partitioning is a technique that divides a large table into smaller subsets based on a key column, such as date, region, or category. Partitioning can improve the performance and efficiency of your BI queries by reducing the amount of data that needs to be scanned, filtered, or joined. However, partitioning also requires careful planning and implementation to avoid potential pitfalls and achieve optimal results. In this article, you will learn some of the best strategies for optimizing queries with partitioning, such as choosing the right partition key, using partition pruning, and avoiding partition skew.
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James MuguroFunctional Business Analyst | Microsoft Dynamics 365 Business Central Functional Consultant | Driving Business Growth…
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Hector BonillaData Engineer and Data Valorisation Analyst
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Sridhar TondapiSr software engineer | Python | BI, SQL | AWS, Azure| Automation | RestAPI | ML | NLP | Gen AI