Module Overview

Overview

Azure Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. In this course, you will learn about Azure Databricks and strategies and scenarios for migrating your workloads to Azure Databricks. You will also learn about Azure Databricks integrations with Azure services, Microsoft Fabric and Azure OpenAI. Additionally, the course will cover aspects of Azure Databricks governance and security along with Well-architected framework.

Course Modules

Modules

Introduction to Azure Databricks

Azure Databricks is a data intelligence platform that combines data engineering, machine learning, and analytics on Microsoft Azure. This guide highlights key differences between Azure Databricks and Databricks, and offers insights to help decide between Azure Databricks and Microsoft Fabric.

Migration to Azure Databricks

The Microsoft Cloud Adoption Framework for Azure provides comprehensive guidance for cloud migration, including proven strategies and best practices. It covers data landing zones and various migration scenarios to support a smooth and secure transition to Azure.

Integration with Azure

Seamless integration with Microsoft Azure services Connecting to Azure Data Lake Storage (ADLS) Gen2 and Blob Storage Leveraging Azure Databricks for Azure Cosmos DB Operations Secret management with Azure Key Vault Connecting Azure Databricks to Azure Event Hubs

Integration with Microsoft Fabric and Power BI

Unlock data intelligence with Azure Databricks and Microsoft Fabric through seamless integration and advanced analytics capabilities. Connect Power BI to Azure Databricks, integrate with Azure Data Factory, and mirror the Unity Catalog for unified data governance.

Integration with Azure OpenAI

Azure Databricks supports advanced AI development with tools like Mosaic AI, DatabricksIQ, and AI Functions, enabling efficient model training and interaction. Users can query generative AI endpoints and prototype LLM-based apps using the AI Playground.

Security and Governance

Azure Databricks integrates seamlessly with Microsoft Purview to enhance data governance and compliance across the analytics workspace. This includes the integration of Unity Catalog, enabling unified data discovery, lineage tracking, and policy enforcement within Purview.

Well-architected for Azure Databricks

The Azure Databricks Well-Architected Framework provides guidance for building reliable, secure, and scalable analytics solutions. It outlines key principles and best practices for implementing a Lakehouse architecture effectively.

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