Introduction to Snowflake Snowpark for Python
The Snowpark is an intuitive library that offers an API for querying and processing data at scale in Snowflake.
DATEDIFF Function in Snowflake: Calculate the difference between two dates
The DATEDIFF function in Snowflake facilitates the calculation of the difference between two date, time, or timestamp values.
GREATEST and LEAST Functions in Snowflake
The GREATEST function in Snowflake retrieves the largest value whereas the LEAST function returns the smallest value from a list of expressions.
Snowflake Dynamic Tables: Change Data Capture Simplified
Snowflake Dynamic Tables track the changes in the query data specified and refresh the materialized results incrementally through an automated process.
QUALIFY in Snowflake: Filter Window Functions
QUALIFY clause in a SELECT statement allows you to filter query results of Window functions within the same query.
GROUP BY ALL in Snowflake
The GROUP BY ALL clause is similar to GROUP BY clause except that it automatically include all non-aggregate items in the SELECT clause for grouping.
Rank Transformation in Informatica Cloud (IICS)
Rank Transformation helps in identifying largest or smallest set of values in a group of data by filtering the data and ranking the values.
SQL Transformation: Query Mode in Informatica Cloud (IICS)
A SQL Transformation can be used to process a SQL query either using a “Saved Query” or a User “Entered Query”.
SQL Transformation: Call Stored Procedures in Informatica Cloud (IICS)
SQL Transformation in Informatica Cloud is used to call a Stored Procedure or Function, or execute SQL queries midstream in a mapping pipeline.
User-Defined Functions (UDFs) in Informatica Cloud (IICS)
User-defined functions allows you to create and store complex transformation logic using built-in functions and reuse them across mappings.