DP-201T01-A: Designing an Azure Data Solution

This course has been superseded

We suggest the following instead:
DP-203T00 - Data Engineering on Microsoft Azure

Course Description

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security, including data access, data policies, and standards. They will also design Azure data solutions, which includes the optimization, availability, and disaster recovery of big data, batch processing, and streaming data solutions.
2 Days
Contact us for pricing
 

Who should attend

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.

Pre-requisites

Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:
AZ-900 - Azure Fundamentals
DP-900 - Microsoft Azure Data Fundamentals
DP-200 – Implementing an Azure Data Solution

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

After completing this module, students will be able to:

Design with security in mind
Consider performance and scalability
Design for availability and recoverability
Design for efficiency and operations

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

After completing this module, students will be able to:

Understand the core principles of creating architectures
Describe 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

Azure Real-Time Reference Architectures

Describe 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

After completing this module, students will be able to:

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

Data Platform Security Design Considerations

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

After completing this module, students will understand the following:

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

Designing for Resiliency and Scale

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

After completing this module, students will be able to:

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

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

After completing this module, students will be able to:

Maximize the Efficiency of your Cloud Environment
Use Monitoring and Analytics to Gain Operational Insights
Use Automation to Reduce Effort and Error
DP-201AzureAzure DataMicrosoft Azure