How to Use SQL Joins when Using Python on Snowflake to Get Pandas Dataframes
One of the great things about Snowflake is that, while it is a "big data" solution, you can still use your SQL to perform joins and other activities on the backend. This is no different when you're using the Snowflake connector for Python. When retrieving data from multiple different tables in Snowflake that you need to join or merge somehow later in your project, it is often faster to let Snowflake do the joining, rather than using Pandas join operations on your local computer. In these cases, using SQL is a fast and efficient way to get your joined data from Snowflake. Let's take a look at some SQL joins on Snowflake using Python!
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How to Use SQL Joins when Using Python on Snowflake to Get Pandas Dataframes
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