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Use Parameters on Snowflake Queries with the Python Connector
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Parameterized queries are very important in the world of data engineering, and it is no different when you’re connecting to your Snowflake database. Luckily, the Snowflake Connector for Python gives us two great ways to use parameters in our queries. These methods will help guard against SQL injection attacks, and will make your queries more robust and efficient. Let’s look at our qmark and numeric parameter styles for querying Snowflake today!
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Related Videos:
Python on Snowflake - Getting started with the Snowflake Connector for Python
Python on Snowflake: Create and Populate a Database and Retrieve Data
How to Use write_pandas to Migrate Dataframes into Snowflake Databases
How to Query Snowflake Data into Pandas Dataframes
How to Execute Many SQL Statements from a File Using the Python Connector for Snowflake
Use Parameters on Snowflake Queries with the Python Connector
You are watching this one now!
How to Use execute_string for Many SQL Statements Using Python on Snowflake
Python on Snowflake - How to Use executemany with Lists or Tuples for Parameters
Want to work with me 1:1? Contact me today and book your free 20 min consultation!
Follow me on social media:
Get Microsoft Office including Access:
Got a YouTube Channel? I use TubeBuddy, it is awesome. Give it a try:
For developers looking for a new role, check out:
Want my team to do a project for you? Let's get to it!
#Snowflake #ParameterizedQuery #PythonConnector
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