About This Architecture

Azure Databricks Lakehouse architecture ingests multi-source data through Azure Data Factory, Event Hubs, and Logic Apps into ADLS Gen2, then transforms it via Delta Lake and Delta Live Tables across Bronze, Silver, and Gold layers. Unity Catalog governs access while MLflow and AutoML enable model development, with Azure ML and Azure OpenAI powering advanced analytics. Power BI dashboards and conversational BI via Bot Service deliver insights to end users, secured by Key Vault, Azure AD, and monitored through Microsoft Sentinel and Azure Monitor. Fork this diagram to customize data sources, add Synapse integration, or extend governance policies for your enterprise data platform.

People also ask

How do I build a complete Azure Databricks lakehouse with data governance, ML pipelines, and Power BI dashboards?

This diagram shows a production-ready Azure Databricks lakehouse ingesting data from SQL databases, APIs, and IoT via Data Factory and Event Hubs into ADLS Gen2, transforming through Bronze/Silver/Gold Delta layers with Unity Catalog governance, enabling ML with MLflow and AutoML, and delivering insights via Power BI dashboards and Azure OpenAI conversational BI.