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This course introduces the Amazon Athena service along with an overview of its operating environment. The basic steps in implementing Amazon Athena are also covered. Using the AWS Management Console, a brief demonstration of creating a database to…

Amazon CloudWatch Logs Insights provides fully managed, highly scalable log analytics capabilities in Amazon CloudWatch. You can use it to search, analyze, and visualize your logs, to understand and improve your applications, and to resolve…

Autonomous vehicles (AV) must be driven hundreds of millions of miles to demonstrate their reliability and safety. There is a need for alternative methods to supplement real-world testing, including virtual testing and simulations, mathematical…

Evaluate whether Azure Backup is appropriate to use for your backup needs and describe how the features of Azure Backup work to provide backup solutions for your needs.

Units in this learning path:

• Introduction
• What Is Azure Backup
• How Azure Backup Works
• When to Use Azure Backup
• Knowledge Check
• Summary

Products: Azure Backup

Roles: Administrator, Solution Architect

Level: Beginner

Subjects: Data Management, Storage, Security

Duration: 18 minutes

Evaluate whether Azure Data Explorer is appropriate to process and analyze your big data.

Units in this learning path:

• Introduction
• What Is Azure Data Explorer
• How Azure Data Explorer Works
• When to Use Azure Data Explorer
• Knowledge Check
• Summary

Products: Azure Data Explorer

Roles: Data Engineer, Data Analyst

Level: Beginner

Subjects: Data Engineering, Data Management

Duration: 29 minutes

Discover how Data Lake Storage provides a repository where you can upload and store unstructured data bringing new efficiencies to processing big data analytics.

Units in this learning path:

• Introduction
• Azure Data Lake Gen2
• Create Data Lake Account
• Azure Data Lake and Blob Storage
• Stages for Processing Big Data
• Use Cases
• Knowledge Check
• Summary

Products: Azure, Azure Data Lake

Roles: Data Engineer

Level: Intermediate

Subjects: Data Storage

Duration: 30 minutes

Describe how Azure Database for MySQL supports mission-critical workloads with predictable performance and dynamic scalability. Determine whether you should implement Azure Database for MySQL to address your relational database needs.

Units in this learning path:

• 1 Introduction
• 2 What Is Azure Database for Mysql
• 3 How Azure Database for Mysql Works
• 4 When to Use Azure Database for Mysql
• 5 Knowledge Check
• 6 Summary

Products: Azure, Azure Database Mysql

Roles: Administrator, Database Administrator, Technology Manager

Level: Beginner

Subjects: Databases

Duration: 33 minutes

Explore the core features, architecture, and use cases for Azure DocumentDB, a fully managed MongoDB-compatible database service.

Units in this learning path:

• Introduction
• What Azure Documentdb
• Capabilities Architecture
• When Azure Documentdb
• Knowledge Check
• Summary

Products: Azure Documentdb

Roles: Developer

Level: Intermediate

Subjects: Databases

Duration: 30 minutes

Evaluate whether Azure HDInsight can help your organization process big data. Describe how Azure HDInsight uses popular open-source frameworks that support many scenarios including extract, transform, data warehousing, and others.

Units in this learning path:

• 1 Introduction
• 2 What Is Azure Hdinsight
• 3 How Azure Hdinsight Works
• 4 When to Use Azure Hdinsight
• 5 Knowledge Check
• 6 Summary

Products: Azure, Azure Hdinsight

Roles: Administrator, Database Administrator, Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Management

Duration: 33 minutes

Introduction to Azure database administration

Modules in this learning path:

• Prepare to Maintain SQL Databases Azure

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

Roles: Data Analyst, Data Engineer, Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 31 minutes

This self-paced digital course explores the various databases that Amazon Web Services (AWS) offers and helps you understand how each of them solve unique business problems. It introduces you to AWS recommended best practices when designing…

Introduction to Copilot in Microsoft Fabric.

Units in this learning path:

• Introduction
• Copilot for Data Factory
• Copilot for Data Engineering and Science
• Copilot for Data Warehouse
• Copilot for Power Bi
• Copilot for Real Time Intelligence
• Copilot for SQL Database
• Data Agents
• Knowledge Check
• Summary

Products: Fabric

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

Level: Beginner

Subjects: Data Analytics

Duration: 27 minutes