Category: Data Engineering
Data clean rooms: share insights without shipping raw files
Partners want overlap metrics. Nobody should email a customer CSV “just this once.” Data clean rooms let parties compute under rules and return aggregates. Learn when they help,…
Vector databases: search by meaning, not just keywords
Semantic search and RAG need more than a keyword index. Vector databases store embeddings and find nearest neighbors fast. Plain-English use cases, hybrid search, chunking pitfalls, and a…
Programming languages for analytics: SQL first, then depth
Which language should analysts learn? Start with SQL, add Python or R for heavier work, and treat BI calculation languages as real production logic. A practical map without…
