Course Description
Pre-requisites
In addition to their professional experience, candidates who take this training should have technical knowledge equivalent to the following courses:
Curriculum for this course
37 Lessons
Module 1: Data Platform Architecture Considerations
8 Lessons
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Core Principles of Creating Architectures
.
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Design with Security in Mind
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Performance and Scalability
.
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Design for availability and recoverability
.
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Design for efficiency and operations
.
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Case Study
.
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Lab : Case Study
.
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Design a Highly Available Solution
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Module 2: Azure Batch Processing Reference Architectures
5 Lessons
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Lambda architectures from a Batch Mode Perspective
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Design an Enterprise BI solution in Azure
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Automate enterprise BI solutions in Azure
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Architect an Enterprise-grade Conversational Bot in Azure
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Lab : Architect an Enterprise-grade Conversational Bot in Azure
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Module 3: Azure Real-Time Reference Architectures
6 Lessons
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Lambda architectures for a Real-Time Perspective
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Lambda architectures for a Real-Time Perspective
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Architect a stream processing pipeline with Azure Stream Analytics
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Design a stream processing pipeline with Azure Databricks
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Create an Azure IoT reference architecture
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Lab : Azure Real-Time Reference Architectures
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Module 4: Data Platform Security Design Considerations
7 Lessons
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Defense in Depth Security Approach
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Identity Management
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Infrastructure Protection
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Encryption Usage
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Network Level Protection
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Application Security
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Lab : Data Platform Security Design Considerations
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Module 5: Designing for Resiliency and Scale
7 Lessons
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Adjust Workload Capacity by Scaling
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Optimize Network Performance
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Design for Optimized Storage and Database Performance
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Identifying Performance Bottlenecks
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Incorporate Disaster Recovery into Architectures
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Design Backup and Restore strategies
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Lab : Designing for Resiliency and Scale
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Module 6: Design for Efficiency and Operations
4 Lessons
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Maximizing the Efficiency of your Cloud Environment
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Use Monitoring and Analytics to Gain Operational Insights
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Use Automation to Reduce Effort and Error
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Lab : Design for Efficiency and Operations
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