You might want to set-up authentication and permissions for maximum security, while for sample data I just used a public bucket.Ĭreate or replace table ga_demo2(src variant) copy into ga_demo2 from 'gcs://fhoffa/ga360/ga_sessions000000000000' file_format=(type='JSON') Snowflake will happily ingest files from GCS, even if your Snowflake account lives in AWS. Load GA data into Snowflake: This is straightforward.Export from BigQuery to GCS: You can use your own GA data, or a sample dataset with data from the Google Merchandise store.You might need tools to build a reliable pipeline, but the basic steps are easy: Taking data out of BigQuery and into Snowflake is easy. Step 1: Load Google Analytics data into Snowflake Nothing better than real data to prove the power of our tools. With MATCH_RECOGNIZE we can simply define the steps we want to find within a series of events, and then we can define any pattern for these steps - and then MATCH_RECOGNIZE does the rest.įor this example we’re going to use a Google Analytics 360 dataset from an e-commerce shop. But MATCH_RECOGNIZE finally gives us an elegant way to find answers to question like this one. That’s not an easy question to answer with plain SQL. How many steps did it take for these users to buy something, and how many times they tried to pay before success?” We need to identify sessions that land into the website from an arbitrary referrer (Instagram, Facebook, etc), and that end up buying something. Sample use case: Google Analytics e-commerce funnel with Snowflake How would you answer this funnel question with SQL:
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