Designing an Azure Data Solution (DP-201)


Course Number: MOC-DP-201

Duration: 2 days (13 hours)

Format: Live, hands-on

Azure Data Solution Training Overview

This Microsoft Official Course, Designing an Azure Data Solution training (DP-201), teaches attendees how to design various data platform technologies into solutions that align with business and technical requirements.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

Objectives

  • Work with data on-premises, in the cloud, and in hybrid scenarios incorporating both relational and No-SQL data
  • Design process architectures using a range of technologies for both streaming and batch data
  • Design data security including data access, data policies and standards
  • Design Azure data solutions that include optimization, availability and disaster recovery of big data, batch processing, and streaming data solutions

Prerequisites

In addition to their professional experience, students should have taken AZ-900: Azure fundamentals and DP-200: Implementing an Azure Data Solution or have the equivalent knowledge.

Outline

Expand All | Collapse All

Introduction
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
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
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
Data Platform Security Design Considerations
  • 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
  • Identifying 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
Conclusion

Training Materials:

All Microsoft Azure training students receive Microsoft official courseware.

Software Requirements:

Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser with a stable Internet connection. Any recent version of Internet Explorer, Mozilla Firefox, or Google Chrome will be fine.



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