Incremental Loading In Snowflake Using Streams And Merge Operations
Incremental loading with Snowflake streams and merge operations can be an efficient way to handle updates in your data. Below is a step-by-step guide on how to implement incremental loading using streams and merge:

1. Identify Incremental Key:
Identify a column or set of columns that can be used as an incremental key to determine which records are new or have been updated since the last run.

2. Create A Stream:
Create a stream in Snowflake for the source table. A stream is a lightweight, change-data-capture (CDC) object that captures changes made to a table.

CREATE OR REPLACE STREAM your_source_table_stream
ON TABLE your_source_table;
3. Load Data Into Source Table:
Load your data into the source table.