4Preparing and using data for analysis

• 4.1Preparing data for visualization

  Understand connecting BI tools, speeding up with precomputation (materialized views, BI Engine), troubleshooting slow queries, and protecting analytical data with security, data masking, IAM, and Cloud DLP.

• 4.2Preparing data for AI/ML and sharing

  Understand data prep for feature engineering and training/serving (BigQuery ML), preparing unstructured data for embeddings and retrieval-augmented generation (RAG), and sharing data (rules, publishing datasets, Analytics Hub).