DP-201T01 - Designing an Azure Data Solution

In this Designing an Azure Data Solution training class, 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 that incorporate relational, No-SQL, or Data Warehouse data.

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.

Location

Public Classes: Delivered live online via WebEx and guaranteed to run . Join from anywhere!

Private Classes: Delivered at your offices , or any other location of your choice.

Goals
  1. Learn to design process architectures using a range of technologies for both streaming and batch data.
  2. Learn to design process architectures using a range of technologies for both streaming and batch data.
  3. Learn to design data security including data access, data policies, and standards. .
  4. Learn to design Azure data solutions that include the optimization, availability and disaster recovery of big data, batch processing, and streaming data solutions.
Outline
  1. Data Platform Architecture Considerations
    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. Design with security in mind
      2. Consider performance and scalability
      3. Design for availability and recoverability
      4. Design for efficiency and operations
  2. Azure Batch Processing Reference Architectures
    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. Designing an Enterprise BI solution in Azure
      2. Automate an Enterprise BI solution in Azure
      3. Automate an Enterprise BI solution in Azure
  3. Azure Real-Time Reference Architectures
    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. Architect a stream processing pipeline with Azure Stream Analytics
      2. Design a stream processing pipeline with Azure Databricks
      3. Create an Azure IoT reference architecture
  4. Data Platform Security Design Considerations
    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. Defense in Depth Security Approach
      2. Identity Protection
  5. Designing for Resiliency and Scale
    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. Adjust Workload Capacity by Scaling
      2. Design for Optimized Storage and Database Performance
      3. Design a Highly Available Solution
      4. Incorporate Disaster Recovery into Architectures
  6. Design for Efficiency and Operations
    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
      1. Maximize the Efficiency of your Cloud Environment
      2. Use Monitoring and Analytics to Gain Operational Insights
      3. Use Automation to Reduce Effort and Error
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Azure class:

  • In addition to professional experience, students who take this training should have technical knowledge equivalent to the prerequisite courses listed below.
Prerequisite Courses

Courses that can help you meet these prerequisites:

Training for your Team

Length: 2 Days
  • Private Class for your Team
  • Online or On-location
  • Customizable
  • Expert Instructors

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