Temario

Module 1: Data Platform Architecture Considerations

• Core Principles of Creating Architectures
• Design with Security in Mind
• Performance and Scalability
• Design for availability and recoverability
• Design for efficiency and operations
• Case Study

Lab : Case Study

Module 2: Azure Batch Processing Reference Architectures

• Lambda architectures from a Batch Mode Perspective
• Design an Enterprise BI solution in Azure
• Automate enterprise BI solutions in Azure
• Architect an Enterprise-grade Conversational Bot in Azure

Lab : Architect an Enterprise-grade Conversational Bot in Azure

Module 3: Azure Real-Time Reference Architectures

• Lambda architectures for a Real-Time Perspective
• Architect a stream processing pipeline with Azure Stream Analytics
• Design a stream processing pipeline with Azure Databricks
• Create an Azure IoT reference architecture

Lab : Azure Real-Time Reference Architectures

Module 4: Data Platform Security Design Considerations

• Defense in Depth Security Approach
• Identity Management
• Infrastructure Protection
• Encryption Usage
• Network Level Protection
• Application Security

Lab : Data Platform Security Design Considerations

Module 5: Designing for Resiliency and Scale

• Adjust Workload Capacity by Scaling
• Optimize Network Performance
• Design for Optimized Storage and Database Performance
• Identifying Performance Bottlenecks
• Design a Highly Available Solution
• Incorporate Disaster Recovery into Architectures
• Design Backup and Restore strategies

Lab : Designing for Resiliency and Scale

Module 6: Design for Efficiency and Operations

• Maximizing the Efficiency of your Cloud Environment
• Use Monitoring and Analytics to Gain Operational Insights
• Use Automation to Reduce Effort and Error

Lab : Design for Efficiency and Operations