The Databricks Data Intelligence Platform on Azure with Azure Databricks democratizes data and AI across your organization by unifying all data, analytics, and AI workloads on a single, open platform built on lakehouse architecture. It delivers secure, governed, and seamless data management and analytics — enabling organizations to simplify architectures, accelerate time to insight, and build generative AI solutions — all within a seamless, native Azure experience. Azure Databricks’ native, zero-copy Delta Sharing integration to SAP Business Data Cloud allows you to unlock the full potential of mission-critical SAP ERP, finance, supply chain, HR and other business data. With deep integration across the Microsoft ecosystem, Azure Databricks empowers organizations to operationalize AI leveraging existing Microsoft investments. Join Databricks and Microsoft for a live, in-person workshop to learn best practices for implementing the complete data and AI lifecycle — covering data engineering, analytics, and machine learning — with Azure Databricks and other services in the Microsoft ecosystem.
This live, hands-on lab will teach you how to:
- Unify and govern all your data — including SAP data — with Azure Databricks, Unity Catalog, and Microsoft Purview.
- Build real-time dashboards and analytics with Databricks SQL and Power BI.
- Develop and deploy ML and generative AI models in Azure Databricks with Azure OpenAI.
- Track experiments and manage the model lifecycle with MLflow Model Registry and Lakeflow Jobs, ensuring end-to-end governance and lineage with Unity Catalog.
- Deploy, serve, and monitor models with Mosaic AI Model Serving, Lakehouse Monitoring, and Azure AI Foundry services.