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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

Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data at scale.

Units in this learning path:

• Introduction
• Spark
• Spark Code
• Dataframe
• Spark SQL
• Visualize Data
• Exercise Spark
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering

Duration: 80 minutes

Learn how to use AutoML to train optimal machine learning models for your data in Azure Databricks.

Units in this learning path:

• Introduction
• What Automl
• Automl User Interface
• Automl Code
• Exercise Automl
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Data Management, Machine Learning

Duration: 44 minutes

Enable deeper insights in Power BI by using Data Analysis Expressions (DAX) to add calculations that support dynamic analysis and advanced reporting in your semantic models.

Modules in this learning path:

• Dax Power Bi Write Formulas
• Dax Power Bi Create Calculations
• Dax Power Bi Time Intelligence
• Power Bi Visual Calculations

Products: Power Bi, Fabric

Roles: Data Analyst

Level: Intermediate

Subjects: Data Analytics, Data Modeling

Duration: 203 minutes

DAX time intelligence functions in Power BI enable users to analyze and compare data across different time periods, supporting insightful reporting on trends, growth, and performance over time.

Units in this learning path:

• 1 Introduction
• 2 Functions
• 3 Calculations
• Lab
• 4 Check
• 5 Summary

Products: Power Bi, Fabric

Roles: Data Analyst

Level: Intermediate

Subjects: Data Analytics

Duration: 34 minutes