Business Intelligence and Data Warehouse Architecture Questions

Design end to end business intelligence systems and the underlying data warehouse architecture. Topics include data ingestion patterns for batch and streaming sources, change data capture, transformation layers and the choice between extract transform load and extract load transform approaches, dimensional modeling and schema choices such as star and snowflake schemas, fact and dimension table design, slowly changing dimensions strategies, medallion and layered architectures, and the visualization and consumption layer. Also cover pipeline orchestration, monitoring, observability, data quality checks, and trade offs between centralized and federated approaches as well as real time versus batch processing.