Scenario: A data scientist needs to build a predictive model using machine learning algorithms on a dataset stored in BigQuery. What feature of BigQuery should they utilize?
- BigQuery ML
- BigQuery BI Engine
- BigQuery Data Transfer Service
- BigQuery Storage API
BigQuery ML empowers data scientists to leverage machine learning capabilities directly within BigQuery, streamlining the model development process and reducing complexity by eliminating the need for data movement and integration with external tools. Understanding the features and capabilities of BigQuery ML is essential for data scientists working on predictive analytics projects.
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