How Snowflake enabled data observability

Snowflake has revolutionized data observability by providing the technical foundation for scalable solutions. Before Snowflake, companies ran SQL scripts on cron jobs to check data quality, causing memory usage and query throttling issues. However, Snowflake's massively parallel processing (MPP) architecture allows for increased computing power without affecting storage or vice versa, making continuous data monitoring computationally feasible. Additionally, Snowflake supports rich metadata, easily queryable usage history, and advanced statistical/analytical aggregate functions, which are crucial for data observability tools. Overall, Snowflake has played a significant role in enabling efficient data observability solutions.