Snowflake Directory Tables: Query and Manage Staged Files
Directory Tables in Snowflake provide a structured way to access file metadata in both internal and external stages.
Directory Tables in Snowflake provide a structured way to access file metadata in both internal and external stages.
Snowflake File URLs provides controlled and secure data access to the staged files without exposing the entire stage.
The COPY INTO command in Snowflake is a powerful tool for efficiently loading data from staged files into tables.
Explore how Snowflake offers a secure and efficient way to make external API calls directly within its environment.
RESULT_SCAN in Snowflake retrieves the results of a previously executed query and presents them as a virtual table allowing to run subsequent queries
Discover how to delete rows from a DataFrame in Snowpark using Table.update() and Session.sql() methods.
Snowflake Notebooks provide an interactive environment to write, execute, and document SQL and Python code in one interface.
Snowpark allows direct execution of SQL statements using the session.sql() method in conjunction with collect() method.
DATEADD Function in Snowflake calculates a date or timestamp value by adding a specified interval to a given date or timestamp.
A Snowflake Alert allows scheduled execution of conditional SQL statements, enabling users to monitor specific events or thresholds within their environment.