Maximizing Snowflake Storage: Understanding Views and Table Types

Snowflake, a popular data warehouse tool, is used by analytics engineers, data engineers, and data analysts for optimizing run time and saving money during the ingestion and transformation processes. Views are defined queries that sit on top of tables without storing actual data. There are two main types of views: non-materialized and materialized. Non-materialized views take up no storage space, only running when queried, while materialized views behave more like a table and require more storage space and computing resources. Utilizing the right type of view can help businesses save money and improve performance within Snowflake.