Teradata Denormalization for Performance Tuning

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Avoid data warehouse project failures by choosing the right data model. In this article, we explore denormalization techniques for when it makes sense, including repeating groups, prejoins, and derived information. We also discuss alternatives to denormalization, such as Global Temporary Tables and Volatile Tables. Remember, denormalization can improve performance but has significant drawbacks and should be used only when necessary.

Teradata Unique Secondary Index: Everything You Need to Know

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Learn about Teradata’s unique secondary indexes (USI) and how they provide an alternate access path to reduce disk IOs while retrieving data. This article explains the technical differences between USI and other indexes, and provides detailed information on the data retrieval process. Discover how to create and use USI effectively, and why recent statistics and high selectivity are important factors to consider. Don’t miss out on this unique insight into Teradata indexing!

How to get SQL Query Stats in Teradata

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Learn how to determine SQL Query Performance in Teradata with these three essential parameters: AMPCPUTime, TotalIOCount, and SpoolUsage. Discover how to get SQL Query Stats and make the right decision for your queries using the DBC tables DBQLOGTBL and DBQLSQLTBL. Follow these three points to consider while running the query and get accurate results.

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