Explore digital courses

Get started with lakehouses in Microsoft Fabric

Units in this learning path:

• Introduction
• Fabric Lakehouse
• Work Lakehouse
• Explore Data Lakehouse
• Exercise Lakehouse
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration, Data Storage

Duration: 59 minutes

Learn Azure Cosmos DB for MongoDB basics.

Units in this learning path:

• Introduction Mongodb API Azure Cosmos Db
• API for Mongodb API Versions
• Create Account Database Collection Use API for Mongodb
• Connect Query API for Mongodb
• Capacity Estimation Use Calculator
• Exercise Create Mongodb Db App Use API for Mongodb
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases

Duration: 63 minutes

Learn tips and tricks about preparing for your first teaching session, which labs to use, when and how to introduce technical topics, as well as other resources and materials.

Units in this learning path:

• Introduction
• Objective Domains
• Learn Module Best Practices
• Explore Best Practices for Module 1
• Explore Best Practices for Module 2
• Explore Best Practices for Module 3
• Explore Best Practices for Module 4
• Explore Best Practices for Module 5
• Explore Best Practices for Module 6
• Explore Best Practices for Module 7
• Explore Best Practices for Module 8
• Explore Best Practices for Module 9
• Explore Best Practices for Module 10
• Explore Best Practices for Module 11
• Bring All Together
• Knowledge Check
• Summary

Products: Azure

Roles: Higher Ed Educator

Level: Advanced

Subjects: Data Management

Duration: 140 minutes

Learn tips and tricks about preparing for your first teaching session, which labs to use, when and how to introduce technical topics, as well as other resources and materials.

Units in this learning path:

• Introduction
• Objective Domains
• Learn Module Best Practices
• Explore Best Practices for Module 1
• Explore Best Practices for Module 2
• Explore Best Practices for Module 3
• Explore Best Practices for Module 4
• Explore Best Practices for Module 5
• Explore Best Practices for Module 6
• Explore Best Practices for Module 7
• Explore Best Practices for Module 8
• Explore Best Practices for Module 9
• Explore Best Practices for Module 10
• Explore Best Practices for Module 11
• Explore Best Practices for Module 12
• Bring All Together
• Knowledge Check
• Summary

Products: Azure

Roles: Higher Ed Educator

Level: Advanced

Subjects: Data Management

Duration: 77 minutes

With AWS Internet of Things (IoT), you can manage billions of devices and connect them to each other and the cloud. You are able to collect, store, process, and analyze device data for a variety of use cases. This course introduces you to AWS IoT,…

AWS IoT SiteWise is a managed service that streamlines how you collect, organize, and analyze industrial equipment data. In this Getting Started course, you will learn the technical concepts, benefits, and typical use cases of AWS IoT SiteWise.…

AWS Storage provides you with the services you need to build the storage solution that's right for your business. In this course, you will learn about the AWS Storage services that provide storage for customers at different places in their cloud…

This course is designed to introduce game developers to the principles and best practices for hosting their game in the AWS Cloud. The course has two parts. In Part II, you will learn about game backends and how they work in the cloud. You will…

In this course, you will learn about the benefits and technical concepts of Amazon DocumentDB. If you are new to the service, you will learn how to start using Amazon DocumentDB through a demonstration of the AWS Management Console and AWS Command…

Amazon Keyspaces (for Apache Cassandra) is a serverless database that can help you manage large, wide-column datastores. It offers single-digit millisecond read/write performance at scale. You can migrate your on-premises Cassandra workloads to…

Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database service that can deliver ultra-fast performance. In this course, you will learn about the MemoryDB service, including its benefits, typical use cases, pricing, and…

Amazon Neptune is a fully managed graph database service that lets you build and run graph applications with highly connected datasets without worrying about hardware provisioning, software patching, setup, configuration, or backups. In this…