About This Architecture

Azure Enterprise Data Architecture integrates ERP, CRM, and IoT sources through a multi-layer pipeline using Azure Data Factory for batch ingestion, Databricks for stream processing, and Azure Synapse Analytics for analytics. Data flows from raw ingestion into ADLS Gen2 (bronze/silver/gold zones) and Azure Synapse DW for structured warehousing, then branches to Power BI for analytics, Azure ML Studio for model training, and App Services for reporting. Azure AD, Key Vault, and Azure Policy enforce security and governance across all layers, while Azure Monitor and Log Analytics provide observability. Fork this diagram to customize data source connectors, adjust pipeline schedules, or extend governance policies for your enterprise requirements.

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How do I design an enterprise data pipeline on Azure that ingests from multiple sources and serves analytics and AI workloads?

This diagram shows a complete Azure data architecture: ERP/CRM/IoT sources feed into Azure Data Factory (batch) and Databricks (streaming), landing in ADLS Gen2 raw/curated zones. Data flows to Azure Synapse DW for structured analytics, then to Power BI dashboards and Azure ML for model training, all secured by Azure AD and Key Vault.