PDE - Preparing and Using Data for Analysis - Section 4.2

Prepare data for AI and ML, including feature engineering, training and serving with BigQueryML, and preparing unstructured data for embeddings and retrieval-augmented generation (RAG).

Engineer features from structured data and train models using BigQuery ML, then generate embeddings for unstructured data to support retrieval-augmented generation (RAG) workflows in Vertex AI. Distinguish which preparation tasks belong in BigQuery versus Vertex AI pipelines.

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