Designing an Azure Data Solution

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Course Overview

The DP-201T01 certification training is a Microsoft Azure training program that teaches participants how to design and implement data solutions using Azure. The course covers topics such as data storage, data processing, data security, and data management. The goal of the training is to prepare individuals to pass the DP-201 certification exam and become certified Azure Data Solution Designers.

At the end of the training, participants will be able to:

  1. Design an Enterprise BI solution in Azure
  2. Automate enterprise BI solutions in Azure
  3. Architect an Enterprise-grade conversational bot in Azure
  4. Create an Azure IoT reference architecture
  5. Design Backup and Restore strategies
  6. Maximize the Efficiency of your Cloud Environment

Pre-requisite

  1. Data professionals
  2. data architects
  3. And business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure

Duration

2 days

Course Outline

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

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