Databricks Lakehouse architecture ingests streaming and batch data from Kafka, APIs, databases, and files through Auto Loader, Spark Streaming, and Partner Connect connectors. Data flows through Bronze (raw), Silver (curated), and Gold (aggregated) Delta Lake layers, transformed by Spark clusters, Delta Live Tables, and Photon engines with integrated data quality checks. The platform serves analytics dashboards, predictive models, and ML pipelines while Unity Catalog provides governance, lineage, and security across the entire pipeline. Fork this diagram to customize ingestion sources, transformation logic, or serving endpoints for your specific lakehouse use case.