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DP-201T01: Designing an Azure Data Solution Associate (Data Engineer) Training


What DP-201T01: Designing an Azure Data Solution Associate (Data Engineer) training is all about?

DP-201T01: Designing an Azure Data Solution Associate (Data Engineer) Training teaches professionals to design different data platform technologies into solutions aligned with business and technical requirements. This technical course teaches them to design process architectures with the help of a wide range of technologies for batch data and streaming. Our enterprise training program is best for organizations and companies. Throughout the course, trainees will also learn to design Azure data solutions, including the availability, disaster recovery, and optimization of big data, streaming data solutions, and batch processing. This program is ideal for data architects, business intelligence professionals, and data professionals who want to know more about the Microsoft Azure data platform technologies. From data platform architecture considerations to designing for scale and resiliency, this program all the critical concepts.

This training is designed based on the objectives of the course variant DP-201T01-A

Schedule
  • Delivery Format:
Date: Nov 19, 2020 | 9:00 am - 5:30 pm EST
Location: Online
$1150 USD
  • Delivery Format:
Date: Nov 25, 2020 | 9:00 am - 5:30 pm EST
Location: Online
$1150 USD
  • Delivery Format:
Date: Nov 30, 2020 | 9:00 am - 5:00 pm EST
Location: Online
$1150 USD
  • Delivery Format:
Date: Dec 10, 2020 | 9:00 am - 5:00 pm EST
Location: Online
$1150 USD
  • Delivery Format:
Date: Dec 16, 2020 | 9:00 am - 5:30 pm EST
Location: Online
$1150 USD
  • Delivery Format:
Date: Dec 22, 2020 | 9:00 am - 5:30 pm 
Location: Online
$1150 USD
  • Delivery Format:
Date: Dec 28, 2020 | 9:00 am - 5:00 pm EST
Location: Online
$1150 USD
What are the course objectives for DP-201T01: Designing an Azure Data Solution Associate (Data Engineer) training?
  • Data Platform Architecture Considerations
  • Azure Batch Processing Reference Architectures
  • Azure Real-Time Reference Architectures
  • Data Platform Security Design Considerations
  • Designing for Resiliency and Scale
  • Designing for Efficiency and Operations
Who should attend DP-201T01: Designing an Azure Data Solution Associate (Data Engineer) training?

The ideal audience for DP-201T01 Azure Data Solution Training is business intelligence professionals, data architects, and data professionals who want to learn how to design data platform technologies existing on Microsoft Azure. Additionally, professionals who develop apps that deliver data from different data platform technologies existing on Microsoft Azure

What is the course outline for DP-201T01: Designing an Azure Data Solution Associate (Data Engineer) training?
  • 1. Data Platform Architecture Considerations
  • In this module, the students will learn how to design and build secure, scalable and performant solutions in Azure by examining the core principles found in every good architecture. They will learn how using key principles throughout your architecture regardless of technology choice, can help you design, build, and continuously improve your architecture for an organizations benefit.

  • 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

  • Design with security in mind
  • Consider performance and scalability
  • Design for availability and recoverability
  • Design for efficiency and operations
  • 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
  • 2. Azure Batch Processing Reference Architectures
  • In this module, the student will learn the reference design and architecture patterns for dealing with the batch processing of data. The student will be exposed to dealing with the movement of data from on-premises systems into a cloud data warehouse and how it can be automated. The student will also be exposed to an AI architecture and how the data platform can integrate with an AI solution.

  • 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

  • Designing an Enterprise BI solution in Azure
  • Automate an Enterprise BI solution in Azure
  • Automate an Enterprise BI solution in Azure
  • After completing this module, students will be able to:

  • 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
  • Case study
  • 3. Azure Real-Time Reference Architectures
  • In this module, the student will learn the reference design and architecture patterns for dealing with streaming data. They will learn how streaming data can be ingested by Event Hubs and Stream Analytics to deliver real-time analysis of data. They will also explore a data science architecture the streams data into Azure Databricks to perform trend analysis. They will finally learn how an Internet of Things (IoT) architecture will require data platform technologies to store data.

  • 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
  • Lab: Azure Real-Time Reference Architectures

  • 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:

  • 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
  • 4. Data Platform Security Design Considerations
  • In this module, the student will learn how to incorporate security into an architecture design and learn the key decision points in Azure provides to help you create a secure environment through all the layers of your architecture.

  • Defense in Depth Security Approach
  • Identity Management
  • Infrastructure Protection
  • Encryption Usage
  • Network Level Protection
  • Application Security
  • Lab: Data Platform Security Design Considerations

  • Defense in Depth Security Approach
  • Identity Protection
  • After completing this module, students will be able to:

  • Defense in Depth Security Approach
  • Identity Management
  • Infrastructure Protection
  • Encryption Usage
  • Network Level Protection
  • Application Security
  • 5. Designing for Resiliency and Scale
  • In this module, student will learn scaling services to handle load. They will learn how identifying network bottlenecks and optimizing your storage performance are important to ensure your users have the best experience. They will also learn how to handle infrastructure and service failure, recover from the loss of data, and recover from a disaster by designing availability and recoverability into your architecture.

  • 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
  • Lab: Designing for Resiliency and Scale

  • Adjust Workload Capacity by Scaling
  • Design for Optimized Storage and Database Performance
  • Design a Highly Available Solution
  • Incorporate Disaster Recovery into Architectures
  • After completing this module, students will be able to:

  • 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
  • 6. Design for Efficiency and Operations
  • In this module, students will learn how to design an Azure architecture that is operationally-efficient and minimizes costs by reducing spend, they will understand how to design architectures that eliminates waste and gives them full visibility into what is being utilized in your organizations Azure environment.

  • 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
  • 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
FAQ's

DP-201 certification exam duration is 180 minutes. The exam consists of 40 - 60 multiple choice questions.

Yes, Microsoft DP-201 exam tests your skills in designing batch processing solutions by using Data Factory; so, our Microsoft certified Azure trainers elaborate all the functionalities of Azure Data Factory.

DP-201: Designing an Azure Data Solution certification course is focused more on the usage of the technologies while DP-200 certification course is focused more on the implementation. In short, DP-200 is Implementing while the DP-201 is Designing.

The lab exercises you do to have perfection in designing for data security and compliance are oriented to network level protection, defense in depth security approach, identity protection, advance threat protection and encryption usage.

2 Days | $ 1150
4.1
  248 Ratings

1832 Learners

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