Implement with impact Modern data platform with Azure Databricks

Course Overview

Azure Databricks is a unified analytics platform for building and managing scalable data, analytics, and AI solutions. This course offers a comprehensive exploration of data engineering and data warehousing with Azure Databricks. You’ll also learn strategies for migrating workloads and integrating with Azure services, Microsoft Fabric, Power BI, and Azure AI Foundry. Additionally, the course covers administration, governance, and security aspects of Azure Databricks

Duration - 12 Hours

Level - Intermediate

Style - Self paced

Course Type - Project Ready with Labs

Certification - No

Hands on Labs - Yes

Solution Areas - Azure - Cloud & AI Platform, Unify Your Data Platform

Course Modules

Introduction to Azure Databricks

Discover Azure Databricks as a data-intelligent platform and explore its advantages with a decision guide comparing Azure Databricks vs. Microsoft Fabric.

Migration to Azure Databricks

Learn about the Microsoft Cloud Adoption Framework for Azure, explore effective migration strategies, and understand how to set up data landing zones for a smooth cloud transition.

Integration with Azure

Integrate Azure Databricks seamlessly with Azure services like ADLS Gen2, Blob Storage, Cosmos DB, Key Vault, and Event Hubs for secure and connected data operations.

Integration with Microsoft Fabric and Power BI

Unlock data intelligence with Azure Databricks and Microsoft Fabric by connecting Power BI, integrating with Azure Data Factory, and mirroring the Azure Databricks Unity Catalog for unified data management.

Integration with Azure AI Foundry

Leverage Azure Databricks with Azure AI Foundry to build and optimize GenAI agents using Mosaic AI, AI Playground, Agent Bricks, and tools like Databricks Assistant, AI/BI Genie, and AI Functions.

Security and Governance

Integrate Azure Databricks Unity Catalog with Microsoft Purview for unified data governance and enhanced visibility.

Well-architected for Azure Databricks

Learn lakehouse implementation principles and best practices alongside the Azure Databricks well-architected framework for building efficient, scalable, and reliable data solutions.