1 - Data Platform Architecture Considerations
Core Principles of Creating ArchitecturesDesign with Security in MindPerformance and ScalabilityDesign for availability and recoverabilityDesign for efficiency and operationsCase StudyLab : Case Study
2 - Azure Batch Processing Reference Architectures
Lambda architectures from a Batch Mode PerspectiveDesign an Enterprise BI solution in AzureAutomate enterprise BI solutions in AzureArchitect an Enterprise-grade Conversational Bot in AzureLab : Architect an Enterprise-grade Conversational Bot in Azure
3 - Azure Real-Time Reference Architectures
Lambda architectures for a Real-Time PerspectiveLambda architectures for a Real-Time PerspectiveDesign a stream processing pipeline with Azure DatabricksCreate an Azure IoT reference architectureLab : Azure Real-Time Reference Architectures
4 - Data Platform Security Design Considerations
Defense in Depth Security ApproachNetwork Level ProtectionIdentity ProtectionEncryption UsageAdvanced Threat ProtectionLab : Data Platform Security Design Considerations
5 - Designing for Resiliency and Scale
Design Backup and Restore strategiesOptimize Network PerformanceDesign for Optimized Storage and Database PerformanceDesign for Optimized Storage and Database PerformanceIncorporate Disaster Recovery into ArchitecturesDesign Backup and Restore strategiesLab : Designing for Resiliency and Scale
6 - Design for Efficiency and Operations
Maximizing the Efficiency of your Cloud EnvironmentUse Monitoring and Analytics to Gain Operational InsightsUse Automation to Reduce Effort and ErrorLab : Design for Efficiency and Operations
Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Who is it For?
The audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
DP-200: Implementing an Azure Data Solution