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In this course, you will learn how to migrate a production database using the AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT). You will be introduced to the full database migration process, from envisioning to…

This credential earner has the advanced competencies to use statistics to make data-driven recommendations or decisions. The individual has the technical knowledge and practical skills to differentiate between common data distribution types, sample a population, calculate descriptive statistics with Microsoft Excel, and apply inferential statistical analysis to formulate data-driven recommendations. The earner has practiced essential workplace skills and explored data analytics career pathways.

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…

Introduction to Microsoft Azure Data analytics in Azure

Modules in this learning path:

• Examine Components of Modern Data Warehouse
• Explore Fundamentals of Stream Processing
• Explore Fundamentals of Data Visualization

Products: Azure, Fabric, Power Bi, Azure Databricks, Azure Data Factory, Azure Storage, Azure Event Hubs

Roles: Data Analyst, Data Engineer, Database Administrator, Solution Architect, Student

Level: Beginner

Subjects: Data Analytics

Duration: 128 minutes

Introduction to Microsoft Azure Data non-relational data in Azure

Modules in this learning path:

• Explore Provision Deploy Non Relational Data Services Azure
• Explore Non Relational Data Stores Azure

Products: Azure, Azure Cosmos Db, Azure Table Storage, Azure Blob Storage, Azure Files

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

Level: Beginner

Subjects: Data Management

Duration: 87 minutes

Introduction to Microsoft Azure Data relational data in Azure

Modules in this learning path:

• Explore Relational Data Offerings
• Explore Provision Deploy Relational Database Offerings Azure

Products: Azure, Azure SQL Database

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

Level: Beginner

Subjects: Data Analytics

Duration: 79 minutes

Learn about data virtualization, how to use Polybase to access and query external data, and enhanced Polybase features in SQL Server 2025.

Units in this learning path:

• Introduction
• Polybase
• Polybase Credentials Data Sources
• Exercise Query Parquet File
• Exercise Connect Azure SQL Database Use Polybase
• Create External Table As Select
• Exercise Create External Table As Select
• Knowledge Check
• Summary

Products: SQL Server

Roles: Database Administrator, Data Engineer, Administrator

Level: Beginner

Subjects: Databases

Duration: 62 minutes

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…

Introduction to Transact-SQL

Units in this learning path:

• Introduction
• Work with Schemas
• Explore Structure SQL Statements
• Examine Select Statement
• Work with Data Types
• Handle Nulls
• Exercise Work with Select Statements
• Knowledge Check
• Summary

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

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

Level: Beginner

Subjects: Data Analytics, Databases, Backend Development

Duration: 61 minutes

This module describes how Microsoft Azure provides a comprehensive platform for data engineering.

Units in this learning path:

• Introduction
• What Data Engineering
• Common Patterns Azure Data Engineering
• Common Tooling Azure Data Engineering
• Knowledge Check
• Summary

Products: Azure

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 26 minutes

Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Discover the capabilities Fabric has to offer, understand how it works, and identify how you can use Fabric for your analytics needs.

Units in this learning path:

• Introduction
• Explore Analytics Fabric
• Data Team
• Use Fabric
• Knowledge Check
• Summary

Products: Fabric

Roles: Business Analyst, Data Analyst, Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Analytics

Duration: 22 minutes

Module on the use of Azure Cosmos DB as part of a migration solution.

Units in this learning path:

• Introduction
• Cosmos Db Overview
• Cosmos Db Apis
• Considerations Migrating Nosql Cosmos Db
• Provisioning Cosmos Db Throughput
• Cosmos Db Partitioning Best Practices
• Knowlege Check
• Summary

Products: Azure, Azure Cosmos Db

Roles: Data Engineer

Level: Intermediate

Subjects: Databases

Duration: 40 minutes