![]() ![]() Here's how you can extract, transform, and load data in Snowflake: Step 1. If you are using cloud storage as a stage the stage must be pointed to the bucket or blob created in step 2. The named Snowflake stage is created in Snowflake.Alternatively, you can use a folder in server storage as a local stage. The Amazon S3 bucket or Google Storage bucket or Azure blob is created.The Snowflake data warehouse is active.Cleans up the remaining files, if needed. ![]()
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