The article presents a comprehensive guide to building an interactive monitoring solution for Snowflake storage usage using ACCOUNT_USAGE views and Streamlit widgets. It focuses on identifying large t
ables, analyzing query patterns, and tracking user interactions to optimize performance and reduce costs.
Reasons to Read -- Learn:
how to build a practical, interactive dashboard for monitoring Snowflake storage usage, which can help identify cost-saving opportunities and performance bottlenecks in your database environment
how to leverage Snowflake's ACCOUNT_USAGE views to track query patterns and user interactions, enabling you to make data-driven decisions about table materializations and optimizations
how to integrate Streamlit widgets with Snowflake queries to create interactive visualizations that make complex database monitoring tasks more accessible and user-friendly
5 min readauthor: Chanin Nantasenamat
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