DP-201: Designing an Azure Data Solution

Description

Duration: 2 days

During this two-day boot camp, student will learn how to design various data platform technologies to create solutions that are based on business and technical requirements. This includes on-premises, cloud, and hybrid data scenarios which include incorporate relational, No-SQL or Data Warehouse data. Student also learn design process architectures using various forms of technologies for both streaming and batch data.

It is recommended that student taking this boot camp have previous training, experience, or training with Azure Fundamentals

Students that would gain from this boot camp are data professionals, data architects, and business intelligence professional who want to add knowledge about data platform technologies that exist on Microsoft Azure.

 

Upon course completion, students will be able to:

Describe the core principles for creating architectures

Design with Security in Mind

Consider performance and scalability

Design for availability and recoverability

Design for efficiency and operations

Understand the course Case Study

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

Lambda architectures for a Real-Team 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

Defense in Depth Security Approach

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands-on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

  • Instructor Led (the best training format we offer)
  • Live Online Classroom – Online Instructor Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

StartFinishPublic PricePublic Enroll Private PricePrivate Enroll
12/25/202312/26/2023
1/15/20241/16/2024
2/5/20242/6/2024
2/26/20242/27/2024
3/18/20243/19/2024
4/8/20244/9/2024
4/29/20244/30/2024
5/20/20245/21/2024
6/10/20246/11/2024
7/1/20247/2/2024
7/22/20247/23/2024
8/12/20248/13/2024
9/2/20249/3/2024
9/23/20249/24/2024
10/14/202410/15/2024
11/4/202411/5/2024
11/25/202411/26/2024
12/16/202412/17/2024
1/6/20251/7/2025

Curriculum

Module 1: Data Platform Architecture Considerations

Lessons

  • 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

Lab: Case Study

  • Core principles for creating architectures
  • Design with security in mind
  • Consider performance and scalability
  • Design for availability and recoverability
  • Design for efficiency and operations

 

Module 2: Azure Batch Processing Reference Architecture

  • 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

Lab: Architect an Enterprise-grade conversational Bot in Azure

  • Lambda architectures from a Batch Mode Perspective
  • Designing an Enterprise BI solution in Azure
  • Automate an Enterprise BI solution in Azure

 

Module 3: Azure Real-Time Reference Architectures

  • Lambda architectures for a Real-Time Perspective
  • Design a stream processing pipeline with Azure Databricks
  • Create an Azure IoT reference architecture

Lab: Azure Real-Time Reference Architectures

  • 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

 

Module 4: Data Platform Security Design Considerations

  • Defense in Depth Security Approach
  • Network Level Protection
  • Identity Protection
  • Encryption Usage
  • Advanced Threat Protection

Labs: Data Platform Security Design Considerations

  • Defense in Depth Security Approach
  • Network Level Protection
  • Identity Protection
  • Encryption Usage
  • Advanced Threat Protection

 

Module 5: Designing for Resiliency and Scale

Design Backup and Restore strategies

Optimize Network Performance

  • Design for Optimized Storage and Database Performance
  • Incorporate Disaster Recovery into Architectures
  • Design Backup and Restore Strategies

Lab: Designing for Resiliency and Scale

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

 

Module 6: 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

Lab: Design for Efficiency and Operations

  • Maximize the Efficiency of your Cloud Environment
  • Use Monitoring and Analytics to Gain Operational Insights
  • Use Automation to Reduce Effort and Error