3. Python connection If you’re using Python, you can use thesnowflake-connector-pythonlibrary: importsnowflake.connector conn=snowflake.connector.connect(user='your_username',password='your_password',account='your_account',warehouse='your_warehouse',database='your_database',schema='your_schema'...
The examples below have been adapted from the Snowflake Documentation. To begin the anomaly detection, go to a new SQL worksheet, select your new database as the data source, and paste the following code to create a table: CREATE OR REPLACE TABLE historical_sales_data ( store_id NUMBER, ...
In Snowflake sadly we only have worksheet. Yes you can use either SQL or Python to process data. And that is great. But we can’t visualize the data in charts like in Jupyter, in Colab or in Databricks! And as if Snowflake heard my prayer, yesterday I found “Notebooks” in the me...
If you are using the Python connector (or SnowSQL) and you wish to set this parameter to 256 (for strong encryption), no additional installation or configuration tasks are required. CLIENT_MEMORY_LIMIT Type Session — Can be set for Account » User » Session Data Type Integer Clients JD...
Snowflake User Groups are a global network of community driven chapters where customers can get together to share use cases, check out new features, and learn from one another. Hosted both virtually and in-person, Snowflake User Groups bring together data professionals to connect and grow togethe...
Snowflake User Groups are a global network of community driven chapters where customers can get together to share use cases, check out new features, and learn from one another. Hosted both virtually and in-person, Snowflake User Groups bring together data professionals to connect and grow togethe...