Learn about the goals of SQL tuning and how to optimize database performance by reducing resource usage. Skew, IOs, and CPU seconds are key metrics. Discover how to ensure completeness and correctness of Teradata statistics, detect missing and stale statistics, and improve query plans.
It’s time to share a new Teradata SQL tuning case study that showcases the impressive impact of query rewriting on performance. We are studying the query below that originally took 40 minutes to run. As a SQL tuning specialist, I always prioritize adding missing statistics and refreshing stale ones. I analyzed the SQL statement that …
The Optimizer typically excels in utilizing statistics, yet examining the execution plan and cardinality estimations can sometimes be beneficial. Since Teradata 14.10, I have habitually included the SHOW STATISTICS statement in my considerations. The resulting metrics can aid in identifying statistical issues. Teradata Statistics – Avoid the Heuristics This case study demonstrates how the Optimizer …
Learn about Teradata Statistics Extrapolation, a technique that allows for reasonable estimations when querying historical data with stale statistics.
Discover the improvements for Teradata statistics with the new syntax starting from Release 14.00. Learn how to optimize performance and usage.
Expert network for enterprise data platforms. Senior consultants, project teams built for your challenge — across Teradata, Snowflake, Databricks, and more.
📍Vienna, Austria & Jacksonville, Florida
Join 4,000+ data professionals.
Weekly insights on Teradata, Snowflake & data architecture.