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Machine Learning with SQL

📊 BigQuery ML & Data AI 10m 200 BASE XP

Bringing the Model to the Data

Moving petabytes of data out of your data warehouse to train a model is slow, expensive, and insecure. BigQuery ML (BQML) solves this by allowing you to train ML models directly inside BigQuery using standard SQL.

CREATE MODEL `my_dataset.churn_model`
OPTIONS(model_type='logistic_reg') AS
SELECT * FROM `my_dataset.customer_data`;

You can train linear regression, k-means clustering, and even deep neural networks without ever leaving the database.

SYNAPSE VERIFICATION
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What is the primary advantage of BigQuery ML?
It uses a proprietary Python library
It allows you to train models directly inside the data warehouse using SQL, avoiding data movement
It creates relational databases automatically
It is exclusively for image classification