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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. This course…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Master the essential skills to build robust, scalable data engineering solutions with Azure Databricks and Unity Catalog. Learn to design effective data models, ingest data from diverse sources, transform raw data into analytics-ready formats, and ensure data quality across your lakehouse architecture.

Modules in this learning path:

• Design Implement Data Modeling Unity Catalog
• Ingest Data Into Unity Catalog
• Cleanse Transform Load Data Into Unity Catalog
• Implement Manage Data Quality Constraints Unity Catalog

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 238 minutes

Power BI allows you to easily connect to and present your data in an interactive report, so you can make data-driven decisions. Learn how to connect to data, transform and shape data, and create interactive visuals in a Power BI report. (DP-605T00)

Modules in this learning path:

• Get Started with Power Bi
• Get Data
• Clean Data Power Bi
• Configure Semantic Model Power Bi
• Power Bi Effective Reports
• Power Bi Copilot
• Introduction End Analytics Use Microsoft Fabric

Products: Fabric, Power Bi

Roles: Data Analyst

Level: Beginner

Subjects: Data Analytics, Data Visualization

Duration: 490 minutes

You'll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You'll also learn to profile, clean, and load data into Power BI before you model your data.

Modules in this learning path:

• Get Data
• Clean Data Power Bi
• Choose Power Bi Model Framework

Products: Power Bi

Roles: Data Analyst

Level: Intermediate

Subjects: Data Analytics

Duration: 273 minutes

When it's time to migrate data, the more you know, the easier it is to control operational complexity and reduce costs. Your customer's business continuity must be your priority. Learn how to prepare data for migration, by using the data management framework to manage data entities and data entity packages in finance and operations apps.

Units in this learning path:

• 1 Prepare Data Migration Module Introduction
• 2 Data Integration Strategy
• 3 Common Migration Scenarios Tools
• 4 Bring Your Own Database
• 5 Perform Test Migration Validate Output
• 6 Prepare Data Migration Quiz
• 7 Prepare Data Migration Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Functional Consultant, Developer

Level: Advanced

Subjects: Data Management, Migration

Duration: 84 minutes

Prepare to maintain SQL Server-based databases on Azure

Units in this learning path:

• Introduction
• Describe Azure Data Platform Roles
• Understand SQL Server Azure Virtual Machine
• Design Azure SQL Database for Cloud Native Applications
• Explore Azure SQL Database Managed Instance
• Knowledge Check
• Summary

Products: Azure SQL Database, Azure SQL Managed Instance, Azure SQL Virtual Machines, SQL Server

Roles: Data Analyst, Data Engineer, Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 31 minutes

Explore the process of preparing data for machine learning models using the Data Wrangler tool in Microsoft Fabric notebooks.

Units in this learning path:

• Introduction
• Understand Data Wrangler
• Explore Data with Data Wrangler
• Handle Missing Data
• Transform Data
• Exercise Preprocess Data with Data Wrangler
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Management, Machine Learning

Duration: 70 minutes

Microsoft Purview Data Loss Prevention (DLP) helps safeguard sensitive information by monitoring and preventing accidental data leaks across your organization's digital platforms. In this module, you'll learn how to plan, deploy, and adjust DLP policies to protect sensitive data in your organization, ensuring security without disrupting daily work.

Units in this learning path:

• Introduction
• Data Loss Prevention Overview
• Plan Design Dlp
• Understand Dlp Deployment Simulation
• Create Manage Dlp Policies
• Adaptive Protection Dlp
• Dlp Analytics
• Manage Monitor Remediate
• Knowledge Check
• Summary

Products: Microsoft Purview, M365, Office 365

Roles: Administrator

Level: Intermediate

Subjects: Data Management, Threat Protection, Cloud Computing

Duration: 68 minutes