SQL optimization is essential for enhancing query performance, especially with large data sets that can lead to inefficiencies, while poorly written SQL queries can lead to critical delays and performance bottlenecks. This session explores how generative AI can revolutionize SQL optimization by automating query enhancements and recommending improvements with perfect accuracy.
We’ll feature a native application for Snowflake, developed using Snowpark Container Services, Streamlit and gen AI, capable of optimizing thousands of queries in minutes and identifying dynamic inefficiencies such as resource contention, overprovisioning and incorrect clustering for cost and performance.
