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Implement a Lakehouse with Microsoft Fabric

Modules in this learning path:

• Introduction End Analytics Use Microsoft Fabric
• Get Started Lakehouses
• Use Apache Spark Work Files Lakehouse
• Work Delta Lake Tables Fabric
• Ingest Dataflows Gen2 Fabric
• Use Data Factory Pipelines Fabric
• Describe Medallion Architecture

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration, Data Storage

Duration: 437 minutes

Implement a data engineering solution using Azure Databricks

Modules in this learning path:

• Perform Incremental Processing with Spark Structured Streaming
• Implement Streaming Architecture Patterns with Delta Live Tables
• Optimize Performance with Spark and Delta Live Tables
• Ci Cd Workflows Pipelines Azure Databricks
• Automate Jobs Azure Databricks
• Manage Data Privacy and Governance with Azure Databricks
• Use SQL Warehouses Azure Databricks
• Run Azure Databricks Notebooks Azure Data Factory

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 487 minutes

Implement a data modeling and partitioning strategy for Azure Cosmos DB for NoSQL

Modules in this learning path:

• Implement Non Relational Data Model
• Design Data Partitioning Strategy

Products: Azure, Azure Cosmos Db

Roles: Data Engineer, Developer

Level: Intermediate

Subjects: Data Modeling

Duration: 108 minutes

Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric. (DP-602T00)

Modules in this learning path:

• Introduction End Analytics Use Microsoft Fabric
• Get Started Data Warehouse
• Load Data Into Microsoft Fabric Data Warehouse
• Query Data Warehouse Microsoft Fabric
• Monitor Fabric Data Warehouse
• Secure Data Warehouse in Microsoft Fabric

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Beginner

Subjects: Data Analytics, Data Engineering, Data Integration

Duration: 362 minutes

Implement a non-relational data model

Units in this learning path:

• Introduction
• Whats Difference Between Nosql Relational Databases
• Identify Access Patterns for Your App
• When to Embed Reference Data
• Exercise Measure Performance for Customer Entities
• Choose Partition Key
• Model Small Lookup Tables
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Data Modeling

Duration: 57 minutes

This module explores how to deploy, validate, and install SAP HANA on Azure (Large Instances). Prepare for Exam AZ-120: Planning and Administering Microsoft Azure for SAP Workloads.

Units in this learning path:

• Introduction
• Provide Microsoft All Data to Deploy for You Large Instance
• Connect Azure Virtual Machines to Hana
• Create Expressroute Gateway
• Validate
• Install Hana
• Knowledge Check
• Summary

Products: Azure

Roles: Administrator, Solution Architect

Level: Advanced

Subjects: Data Engineering, Data Storage

Duration: 31 minutes

Learn how to implement and manage data quality constraints in Azure Databricks using Unity Catalog, including validation checks, schema enforcement, and pipeline expectations.

Units in this learning path:

• Introduction
• Implement Validation Checks
• Implement Data Type Checks
• Detect Manage Schema Drift
• Manage Data Quality Pipeline Expectations
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 38 minutes

Implement compliance controls for sensitive data

Units in this learning path:

• Introduction
• Explore Data Classification
• Explore Server and Database Audit
• Implement Dynamic Data Masking
• Implement Row Level Security
• Understand Microsoft Defender for SQL
• Explore Azure SQL Database Ledger
• Implement Azure Purview
• Exercise Enable Advanced Data Security Classification
• Knowledge Check
• Summary

Products: Azure, Azure SQL Database, SQL Server

Roles: Data Analyst, Data Engineer, Database Administrator

Level: Intermediate

Subjects: Classification Analysis, Databases, Threat Protection

Duration: 103 minutes

Learn the key concepts and strategies for implementing continuous integration and continuous deployment (CI/CD) in Microsoft Fabric.

Units in this learning path:

• Introduction
• Understand Cicd
• Implement Version Control and Git Integration
• Implement Deployment Pipelines
• Automate Cicd Using Fabric Apis
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Beginner

Subjects: Data Engineering, Data Analytics

Duration: 46 minutes

Learn how to implement development lifecycle processes in Azure Databricks, including Git version control, branching strategies, testing approaches, and Databricks Asset Bundle deployment using the CLI.

Units in this learning path:

• Introduction
• Apply Version Control Git
• Manage Branching Pull Requests Conflicts
• Implement Testing Strategy
• Configure Package Databricks Asset Bundles
• Deploy Bundle Databricks Cli
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 42 minutes

Learn how to discover, classify, and protect sensitive and business-critical content throughout its lifecycle across your organization.

Units in this learning path:

• Introduction
• Endpoint Dlp Overview
• Understand Dlp Implementation Workflow
• Onboard Devices Endpoint Dlp
• Configure Endpoint Dlp Settings
• Create Manage Endpoint Dlp Policy
• Deploy Purview Extension
• Configure Just in Time Protection
• Knowledge Check
• Summary

Products: Microsoft Purview, M365, Office 365

Roles: Administrator

Level: Intermediate

Subjects: Data Management, Threat Protection, Cloud Computing

Duration: 53 minutes

Learn to build, integrate, and evaluate generative AI agents using Azure Database for PostgreSQL.

Units in this learning path:

• Introduction
• Understand AI Agents Azure Database Postgresql
• Apply Information Retrieval Agents
• Evaluate Agentic Frameworks Integration Postgresql
• Implement AI Agents Foundry Agent Service
• Exercise Build AI Agent Foundry Azure Database Postgresql
• Integrate AI Agents Mcp Postgresql
• Knowledge Check
• Summary

Products: Azure, Azure Database Postgresql

Roles: Developer, Data Engineer, Solution Architect

Level: Intermediate

Subjects: Databases, Artificial Intelligence, Cloud Computing

Duration: 62 minutes