HOW TO: Execute SQL Statements in Snowflake Snowpark?
Snowpark allows direct execution of SQL statements using the session.sql() method in conjunction with collect() method.
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.
Snowflake offers built-in stored procedures SYSTEM$SEND_EMAIL and SYSTEM$SEND_SNOWFLAKE_NOTIFICATION for sending email notifications.
ASOF JOIN in Snowflake matches each row in one table to the closest row in another table based on a specified condition, typically involving time series data.
MIN_BY and MAX_BY are aggregate functions in Snowflake that calculate the minimum or maximum value of a column and return the value of another column in that row.
Learn how to drop a column from a Snowflake Snowpark DataFrame using drop() method with examples.
Learn multiple ways to add a new column to a Snowpark DataFrame that includes adding a column with default value, based on a condition, and adding multiple columns with examples.
The dropDuplicates() method in Snowpark returns a new DataFrame with all duplicate rows removed.
Learn how a CASE statement can be constructed in Snowflake Snowpark using when() and otherwise() methods.