3Storing the data

• 3.1Choosing storage systems and the data warehouse

  Understand choosing managed services by access pattern (BigQuery, BigLake, AlloyDB, Bigtable, Spanner, Cloud SQL, Cloud Storage, Firestore, Memorystore), storage cost/performance, lifecycle management, and data-warehouse modeling (degree of normalization, optimizing for access patterns).

• 3.2Data lakes and data platforms

  Understand managing data lakes (discovery, access, cost controls), building data platforms with Knowledge Catalog (one product for both governance and metadata discovery), federated governance for distributed data systems, and choosing between lakes and warehouses.