Understand Arrays: Native array support (no junction tables), store tags/categories/phone numbers, array operators (ANY, ALL, @>), 2-3x faster than JOIN

Master JSONB: Binary JSON format (2-3x faster than MySQL JSON), indexable with GIN, operators (->, ->>, @>, ?), use for flexible schemas

Learn Array Operations: array_agg() for aggregation, unnest() to expand, array operators (@> contains, && overlaps), index with GIN

Master JSONB Operations: Query nested data with ->, ->>, update with jsonb_set(), containment with @>, existence with ?, index with GIN

Understand Performance: JSONB is binary (faster than text JSON), GIN indexes enable fast queries, avoid deep nesting (3+ levels slow)

Learn When to Use: Arrays for simple lists (tags, categories), JSONB for flexible schemas (user preferences, metadata), avoid for relational data

Understand Arrays: Native array support (no junction tables), store tags/categories/phone numbers, array operators (ANY, ALL, @>), 2-3x faster than JOIN

Master JSONB: Binary JSON format (2-3x faster than MySQL JSON), indexable with GIN, operators (->, ->>, @>, ?), use for flexible schemas

Learn Array Operations: array_agg() for aggregation, unnest() to expand, array operators (@> contains, && overlaps), index with GIN

Master JSONB Operations: Query nested data with ->, ->>, update with jsonb_set(), containment with @>, existence with ?, index with GIN

Understand Performance: JSONB is binary (faster than text JSON), GIN indexes enable fast queries, avoid deep nesting (3+ levels slow)

Learn When to Use: Arrays for simple lists (tags, categories), JSONB for flexible schemas (user preferences, metadata), avoid for relational data