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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

Use Azure Synapse serverless SQL pools to transform data in a data lake

Units in this learning path:

• Introduction
• Transform Data with Using Create External Table As Select Statement
• Operationalize Data Transformation with Using Stored Procedures
• Pool Stored Procedures from Synapse Pipelines
• Exercise Transform Data
• Knowledge Check
• Summary

Products: Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering, Data Storage

Duration: 47 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

Explore how you can use Power Fx formulas to work with Microsoft Dataverse choice and choices columns. These column data types present the user with a fixed list of values defined by the maker.

Units in this learning path:

• 1 Introduction
• 2 Filter
• 3 Set Values
• 4 Exercise
• 5 Check
• 6 Summary

Products: Power Platform, Power Apps, Dataverse

Roles: Maker

Level: Intermediate

Subjects: Data Modeling

Duration: 42 minutes

Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture in Azure Synapse Analytics.

Units in this learning path:

• Introduction
• Understand Delta Lake
• Create Delta Tables
• Catalog Tables
• Use Delta Lake Streaming Data
• Delta with SQL
• Exercise Use Delta Lake
• Knowledge Check
• Summary

Products: Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Storage

Duration: 74 minutes

Eventstream in Real-Time Intelligence (RTI) enables you to ingest, transform, and route real-time data.

Units in this learning path:

• Introduction
• Event Stream Components
• Setup Event Streams
• Route Event Data to Destinations
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Beginner

Subjects: Data Management, Data Engineering, Data Integration

Duration: 57 minutes

Learn how to use MLflow in Azure Databricks to track machine learning experiments and deploy models.

Units in this learning path:

• Introduction
• Capabilities of Mlflow
• Run Experiments
• Register Serve Models
• Exercise Use Mlflow
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Data Management, Machine Learning

Duration: 63 minutes

This module explores how to set up a Microsoft Power Apps canvas app to send telemetry to Application Insights.

Units in this learning path:

• 1 Introduction
• 2 Configure
• 3 View App Insights
• 4 Custom Logging
• 5 Exercise
• 6 Check
• 7 Summary

Products: Power Platform, Power Apps, Azure Monitor, Dataverse

Roles: Maker

Level: Intermediate

Subjects: Data Analytics

Duration: 38 minutes

Are you going to use Power BI to create reports for Business Central? If so, this learning path will discuss how to build a dataset, build a report, and work with Power BI and Business Central.

Modules in this learning path:

• Create Data Set
• Build Power Bi Report
• Work Power Bi

Products: Dynamics 365, Dynamics Business Central

Roles: Functional Consultant, Developer

Level: Intermediate

Subjects: Data Analytics

Duration: 233 minutes

Use SQL Warehouses in Azure Databricks

Units in this learning path:

• Introduction
• Get Started
• Create Databases Tables
• Create Queries Dashboards
• Exercise Use SQL Warehouse
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Storage

Duration: 44 minutes