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Explore the role of solution architects in data modeling for Power Platform, including data types and relationships.

Units in this learning path:

• 1 Introduction
• 2 Common Data Model
• 3 Data Model
• 4 Data Store
• 5 Dataverse
• 6 Best Practice
• Data Model Exercise
• Architecture Devices
• Report Data Visitors
• Visitors Waivers Photos
• Solution
• 7 Check
• 8 Summary

Products: Power Platform, Dataverse, Dynamics Customer Engagement

Roles: Solution Architect

Level: Intermediate, Advanced

Subjects: Data Modeling, Business Applications

Duration: 72 minutes

Sort and filter results in T-SQL

Units in this learning path:

• Introduction
• Sort Your Data As Its Returned
• Use Top Offset Fetch with Sorted Data
• Page Results
• Remove Duplicates
• Filter Data
• Exercise Sort Filter Query Results
• Knowledge Check
• Summary

Products: SQL Server, Azure SQL Managed Instance, Azure Sqlserver Vm, Azure SQL Virtual Machines

Roles: Data Analyst, Data Engineer, Data Scientist, Database Administrator, Developer, Solution Architect, Student, Technology Manager

Level: Beginner

Subjects: Databases

Duration: 57 minutes

This Learning Path helps you build knowledge on migrating storage implementations to the cloud. This Learning Path presents domain-specific content and includes courses, knowledge checks, and a knowledge badge assessment. This path is a guide and…

This Learning Path helps you build knowledge on key technology features and best practices for backup solutions and practices to maintain disaster readiness during normal business operations. This Learning Path presents domain-specific content and…

Configure Unity Catalog isolation boundaries, leverage automatic lineage tracking, and migrate from Hive metastore to establish centralized data governance.

Units in this learning path:

• Introduction
• Implement Isolation Methods
• Explore Lineage
• Transition from Hive Metastore
• Knowledge Check
• Exercise
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 75 minutes

Analyze data in PostgreSQL with aggregate functions and grouping. Learn COUNT, SUM, AVG, and filter results using GROUP BY and HAVING.

Units in this learning path:

• Introduction
• Sample Database Overview
• Aggregate Functions
• Group by Having
• Summary

Products: Azure Database Postgresql

Roles: Database Administrator, Developer

Level: Beginner

Subjects: Databases

Duration: 15 minutes

Learn how to train machine learning models using Spark and the MLlib library in Azure Databricks.

Units in this learning path:

• Introduction
• Understand Machine Learning
• Machine Learning Azure Databricks
• Prepare Data for Machine Learning
• Train Model
• Evaluate Model
• Exercise Machine Learning Databricks
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Data Management, Machine Learning

Duration: 84 minutes

Learn how to train machine learning models in notebooks and track your work with MLflow experiments in Microsoft Fabric.

Units in this learning path:

• Introduction
• Train Model
• Mlflow
• Fabric Models
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Management, Machine Learning

Duration: 54 minutes

Learn how to use deep learning libraries like PyTorch in Azure Databricks, and to distribute training by using TorchDistributor

Units in this learning path:

• Introduction
• Deep Learning
• Pytorch
• Horovod
• Exercise Deep Learning
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Advanced

Subjects: Data Management, Machine Learning

Duration: 70 minutes

Learn how to use Azure Synapse Analytics pipelines to automate and orchestrate data transfer and transformation activities.

Modules in this learning path:

• Build Data Pipeline Azure Synapse Analytics
• Use Spark Notebooks Azure Synapse Pipeline

Products: Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 119 minutes

Learn how to transform and load event log data for process mining.

Units in this learning path:

• Introduction
• Normalize Event Log Data
• Filter Event Log Data
• Load Event Log Data
• Exercise
• Check
• Summary

Products: Power Automate

Roles: Functional Consultant, Developer

Level: Beginner

Subjects: Data Management

Duration: 43 minutes

Learn how to use Apache Spark pools in Azure Synapse Analytics to transform data.

Units in this learning path:

• Introduction
• Transform Dataframe
• Partition Data
• Tramsform SQL
• Exercise Transform Data Spark Azure Synapse Analytics
• Knowledge Check
• Summary

Products: Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 50 minutes