Join this hands-on lab to design and deploy a modern, cloud-native analytics and AI solution using Azure Databricks, Microsoft Foundry, and Microsoft Copilot Studio. Work with the Zava-Litware scenario to perform data ingestion, orchestration with Lakeflow, AI-driven insights via Genie, mirrored catalog in Microsoft Fabric, Copilot Studio low-code automation, and advanced reporting in Power BI. Build a scalable, cost-efficient solution showcasing AI-powered analytics for business transformation.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join this hands-on lab to design and deploy a modern, cloud-native analytics and AI solution using Azure Databricks, Microsoft Foundry, and Microsoft Copilot Studio. Work with the Zava-Litware scenario to perform data ingestion, orchestration with Lakeflow, AI-driven insights via Genie, mirrored catalog in Microsoft Fabric, Copilot Studio low-code automation, and advanced reporting in Power BI. Build a scalable, cost-efficient solution showcasing AI-powered analytics for business transformation.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join this hands-on lab to design and deploy a modern, cloud-native analytics and AI solution using Azure Databricks, Microsoft Foundry, and Microsoft Copilot Studio. Work with the Zava-Litware scenario to perform data ingestion, orchestration with Lakeflow, AI-driven insights via Genie, mirrored catalog in Microsoft Fabric, Copilot Studio low-code automation, and advanced reporting in Power BI. Build a scalable, cost-efficient solution showcasing AI-powered analytics for business transformation.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.