665 courses available
Microsoft
Deploy Spring microservices to Azure
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Create Instance
• 3 Configure Server
• 4 Build Spring Boot Microservice
• 5 Build Gateway
• 6 Configure Distributed Tracing
• 7 Scale Spring Boot Microservices
• 9 Conclusion
Products: Azure, Azure Spring Apps
Roles: Developer, Administrator
Level: Intermediate
Subjects: Data Engineering
Duration: 38 minutes
Microsoft
Deploy a Jakarta EE application to Azure
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Deploy Azure Database Mysql
• 3 Exercise Deploy Azure Database Mysql
• 4 Deploy Jakarta Ee App to Jboss Eap
• 5 Exercise Deploy Jakarta Ee App to Jboss Eap
• 6 Admin Jboss Eap
• 7 Exercise Admin Jboss Eap
• 8 Knowledge Check
• 9 Summary
Products: Azure
Roles: Developer
Level: Beginner
Subjects: Data Engineering
Duration: 47 minutes
Microsoft
Deploy and maintain data pipelines and workloads with Azure Databricks
Data ScienceModules in this learning path:
• Design Implement Data Pipelines
• Implement Lakeflow Jobs
• Implement Development Lifecycle Processes Azure Databricks
• Monitor Troubleshoot Optimize Workloads Azure Databricks
Products: Azure Databricks
Roles: Data Engineer
Level: Intermediate
Subjects: Data Engineering
Duration: 185 minutes
Microsoft
Deploy and manage Azure IaaS Active Directory domain controllers in Azure
Data ScienceUnits in this learning path:
• Introduction
• Select Option Implement Directory Identity Services
• Deploy Configure Active Directory Domain Services Domain Controllers
• Install Replica Active Directory Domain Controller Azure Virtual Machine
• Install Active Directory Forest Azure Virtual Network
• Knowledge Check
• Summary
Products: Azure, Entra Id, Azure Cloud Shell, Azure Portal, Azure Virtual Machines
Roles: Administrator, Solution Architect, Technology Manager
Level: Intermediate
Subjects: Data Engineering
Duration: 39 minutes
Microsoft
Deploy to multiple Azure environments by using JSON ARM template features
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Azure Resource Manager Functions
• 3 Exercise Use Functions Create Expression
• 4 Azure Resource Manager Variables
• 5 Exercise Use Variables Store Expressions
• 6 Azure Resource Manager Tags Parameter Files
• 7 Exercise Use Tags Parameter Files
• 8 Knowledge Check
• 9 Summary
Products: Azure, Azure Resource Manager, Azure Storage Accounts
Roles: Administrator, Developer, Solution Architect
Level: Beginner
Subjects: Data Modeling, Data Engineering
Duration: 39 minutes
Microsoft
Deploy workloads with Lakeflow Jobs
Data ScienceUnits in this learning path:
• Introduction
• What Are Azure Databricks Workflows
• Key Components of Azure Databricks Workflows
• Benefits of Azure Databricks Workflows
• Deploy Workloads Using Azure Databricks Workflows
• Exercise Workflows
• Knowledge Check
• Summary
Products: Azure Databricks
Roles: Data Analyst
Level: Intermediate
Subjects: Data Management
Duration: 57 minutes
Microsoft
Describe concepts of relational data
Data ScienceUnits in this learning path:
• Introduction
• Explore Characteristics
• Explore Structures
• Choose Right Platform for Relational Workload
• Knowledge Check
• Summary
Products: Azure
Roles: Administrator, Business User, Data Engineer
Level: Beginner
Subjects: Databases
Duration: 19 minutes
Microsoft
Describe performance monitoring
Data ScienceUnits in this learning path:
• Introduction
• Tools
• Describe Critical Performance Metrics
• Establish Baseline Metrics
• Describe Extended Events
• Describe Database Watcher
• Explore Query Performance Insight
• Exercise
• Knowledge Check
• Summary
Products: Azure, Azure SQL Database, SQL Server
Roles: Data Analyst, Data Engineer, Database Administrator
Level: Intermediate
Subjects: Data Management
Duration: 83 minutes
Microsoft
Design Power BI reports
Data ScienceUnits in this learning path:
• 1 Introduction
• Design Layout
• Design Reports
• 2 Report Objects
• 3 Report Visuals
• 6 Report Filters
• 7 Filter Techniques
• 8 Report Filters Case Study
• Lab
• 6 Check
• 7 Summary
Products: Power Platform, Power Bi
Roles: Business User, Business Analyst, Data Analyst
Level: Intermediate
Subjects: Data Visualization
Duration: 115 minutes
Microsoft
Design a Modern Data Warehouse using Azure Synapse Analytics
Data ScienceUnits in this learning path:
• Introduction
• Describe
• Define Architecture
• Exercise Identifying Architecture Components
• Design Ingestion Patterns for Warhouse
• Understand Data Storage for
• Understand File Formats Structure Modern Data Warehouse
• Prepare Transform Data with
• Serve Data for Analysis with
• Knowledge Check
• Summary
Products: Azure Synapse Analytics
Roles: Data Engineer
Level: Beginner
Subjects: Data Storage
Duration: 62 minutes
Microsoft
Design a SQL Server migration strategy
Data ScienceUnits in this learning path:
• Introduction
• Examine Data Platform Modernization
• Plan Data Migration
• Explore Data Migration Resources
• 5 Exercise Compare Onpremises Azure Costs
• Knowledge Check
• 6 Summary
Products: Azure, Azure SQL Database, Azure SQL Managed Instance, Azure Sqlserver Vm, Azure SQL Virtual Machines, Azure Synapse Analytics
Roles: Administrator, Data Engineer, Database Administrator
Level: Beginner
Subjects: Data Engineering
Duration: 32 minutes
Microsoft
Design a data partitioning strategy
Data ScienceUnits in this learning path:
• Introduction
• Denormalize Data Your Model
• Manage Referential Integrity by Using Change Feed
• Combine Multiple Entities Same Container
• Denormalize Aggregates Same Container
• Finalize Data Model
• Exercise Advanced Modeling Patterns
• Knowledge Check
• Summary
Products: Azure, Azure Cosmos Db
Roles: Developer
Level: Intermediate
Subjects: Data Engineering
Duration: 51 minutes
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