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Data is so widespread that many services and roles are needed to manage the data of an organization. This module covers types of data products, Azure data services, and the roles of data professionals.

Units in this learning path:

• Introduction
• Describe Data Product Categories
• Azure Data Services
• Data Professionals
• Knowledge Check
• Summary

Products: Office Excel, SQL Server

Roles: Business Owner, Business User, K 12 Educator, Student

Level: Beginner

Subjects: Databases

Duration: 21 minutes

Understand data warehouse developer features of Azure Synapse Analytics

Units in this learning path:

• Introduction
• Explore Development Tools for
• Understand Transact SQL Language Capabilities for
• Work with Windowing Functions
• Exercise Work with Windowing Functions
• Work with Approximate Execution
• Exercise Work with Approximate Execution
• Work with Json Data SQL Pools
• Encapsulate Transact SQL Logic with Stored Procedures
• Knowledge Check
• Summary

Products: Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Storage

Duration: 57 minutes

Learn how Microsoft Purview Unified Catalog helps organizations overcome fragmented data estates by centralizing assets, adding business context, and applying consistent governance so teams can trust and use data with confidence.

Units in this learning path:

• Introduction
• Fragmented Data Challenge
• Address Fragmentation Challenge
• Elements Unified Catalog
• Roles Personas Unified Catalog
• Responsible AI Unified Catalog
• From Classic Unified Catalog
• Unified Catalog Importance
• Knowledge Check
• Summary

Products: Microsoft Purview

Roles: Data Engineer, Data Analyst

Level: Intermediate

Subjects: Data Management, Compliance

Duration: 34 minutes

This module helps users understand the hybrid data platform capabilities of SQL Server 2025.

Units in this learning path:

• Introduction
• Business Continuity with Azure SQL Managed Instance
• Azure Arc Enabled
• Near Real Time Analytics Synapse Link for SQL
• Azure Active Directory Azure Ad Authentication
• Knowledge Check
• Summary

Products: SQL Server

Roles: Database Administrator, Data Engineer, Administrator

Level: Beginner

Subjects: Databases

Duration: 58 minutes

Understand retention in Microsoft Purview

Units in this learning path:

• Introduction
• Retention Overview
• Retention Labels Retention Policies
• Decide Apply Retention
• Knowledge Check
• Summary

Products: M365, Microsoft Purview

Roles: Administrator, Auditor

Level: Intermediate

Subjects: Data Management

Duration: 24 minutes

Learn about MySQL’s pluggable storage engine model, and learn about common storage engines, and those supported by Azure Database for MySQL.

Units in this learning path:

• Introduction
• Describe Common Storage Engines
• Specify Storage Engine
• Understand Supported Storage Engines
• Explain Tablespaces
• Optimize Write Ahead Log
• Exercise Compare Options
• Knowledge Check
• Summary

Products: Azure Database Mysql, Azure Storage

Roles: Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 38 minutes

Azure Database for PostgreSQL is an ACID compliant database service. Write-ahead logging ensures changes are both atomic and durable (the A and D in ACID). Changes are first written to the log before they're committed to the database. In this module, you learn how Azure Database for PostgreSQL implements write-ahead logging, and how the log can be used for replication and logical decoding.

Units in this learning path:

• Introduction
• Understand Write Ahead Logging
• Understand Replication Logical Decode
• Exercise List Table Changes Logical Decode
• Knowledge Check
• Summary

Products: Azure Database Postgresql

Roles: Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 46 minutes

Explore Data Cloud—from setup and administration to segmenting and acting on your data insights. This trail will get you ready to become a certified Data Cloud Consultant. You will gain skills in data science and visualization, digital marketing, query languages, business strategy, automation, and more.

Learn about creating an Azure Data Lake Storage account and uploading data to Data Lake Storage Gen 2 through the Azure Storage Explorer.

Units in this learning path:

• Introduction
• Create Azure Data Lake
• Upload Data Using Explorer
• Summary

Products: Azure

Roles: Data Engineer

Level: Beginner

Subjects: Data Storage

Duration: 35 minutes

Explore AI Builder's ready-to-use models, enhancing Power Apps user experience and offering interactive controls.

Units in this learning path:

• Introduction
• Create Custom Model
• Add Prebuilt Model Driven
• Add Prebuilt Canvas
• Add Custom Canvas
• Check
• Summary

Products: Power Apps, AI Builder

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Data Modeling

Duration: 26 minutes

Fabric Activator is an event detection engine that automatically triggers actions when specific patterns or conditions are detected in data sources.

Units in this learning path:

• Introduction
• Configure Activator
• Create Rules
• Configure Actions
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Engineer, Data Analyst

Level: Beginner

Subjects: Data Analytics, Data Engineering

Duration: 61 minutes

Use Apache Spark in Azure Databricks

Units in this learning path:

• Introduction
• Get to Know Spark
• Create Spark Cluster
• Use Spark Notebooks
• Use Spark to Work Data Files
• Visualize Data
• Exercise Use
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Visualization

Duration: 79 minutes