CARTO DW | BigQuery | Snowflake | Redshift | PostgreSQL |
---|---|---|---|---|
This example demonstrates how to use Workflows to join two tables based on a common ID on both tables.
CARTO DW | BigQuery | Snowflake | Redshift | PostgreSQL |
---|---|---|---|---|
This example shows how to use Workflows to join two tables together and then group by a specific property, producing aggregated data coming from both sources.
CARTO DW | BigQuery | Snowflake | Redshift | PostgreSQL |
---|---|---|---|---|
This example demonstrates how to use Workflows to generate a table that contains all the rows from two different sources with the same schema.
CARTO DW | BigQuery | Snowflake | Redshift | PostgreSQL |
---|---|---|---|---|
This example demonstrates how to use Workflows to filter a data source using a custom geography input.
CARTO DW | BigQuery | Snowflake | Redshift | PostgreSQL |
---|---|---|---|---|
This example demonstrates how to use Workflows to generate a new column using a formula that involves different columns in the calculation.
CARTO DW | BigQuery | Snowflake | Redshift | PostgreSQL |
---|---|---|---|---|
This example demonstrates how to use Workflows to obtain a normalized index from a column in your dataset.
CARTO DW | BigQuery | Snowflake | Redshift | PostgreSQL |
---|---|---|---|---|
This example demonstrates how to use Workflows to sort a table by a specific property, and only keep a certain number of rows.
CARTO DW | BigQuery | Snowflake | Redshift | PostgreSQL |
---|---|---|---|---|
This example demonstrates how to use Workflows to reduce a dataset to a smaller number of columns required for a specific analysis..