Data Architecture Selection Teaching · mikerrr Teaches and recommends data architecture decisions — choosing among the seven database types, OLTP/OLAP/hybrid designs, sharded relational platforms, data virtualization and federation approaches, Data Vault vs Anchor Model warehouse modelling, BI tool limits, and the delivery process that actually fits data pipeline work. Use when someone asks "which database should we choose?", "explain OLTP vs OLAP", "should we use Data Vault or Anchor Model?", "how do I make our data warehouse flexible?", "is Tableau enough for our corporate reporting?", "why do our data pipeline estimates always slip?", "can we run pipeline development in Scrum?", "what is data virtualization and how does it differ from ETL?", "how do we shard PostgreSQL for both fast inserts and reports?", or "teach me data engineering architecture fundamentals".