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Home > Designing An Azure Data Solution (dp-201t01-a)

Designing an Azure Data Solution (DP-201T01-A)

Learnfast is a Microsoft Silver Learning Partner. This is an authorised Microsoft Official Course (MOC), a preparation course for the DP-201: Designing an Azure Data Solution exam. 

Welcome to the Designing an Azure Data Solution course. 

 

In this two-day course learners 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, No-SQL 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 learners 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. 

 

Job role: Data Engineer 

 

 

Features & Benefits

          

  • Learners will gain confidence to take other role-based courses and certifications. 
  • An additional fee is payable for exam vouchers. 
  • Take full advantage of our new Hybrid Learning by attending on campus or virtually. Have all your classes ready to be downloaded and watched, anytime, anywhere. (Read More)

          

  • Attendees will learn practical skills which can be applied in the work environment.  

Outcomes & Objectives

Upon completion of this course, learners will have acquired these skills 

  • Design with Security in mind 
  • Consider performance and scalability 
  • Design for availability and recoverability 
  • Design for efficiency and operations 
  • 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 
  • 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 
  • Defense in Depth Security Approach 
  • Identity Management 
  • Infrastructure Protection 
  • Encryption Usage 
  • Network Level Protection 
  • Application Security 
  • 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 
  • Maximize the Efficiency of your Cloud Environment 
  • Use Monitoring and Analytics to Gain Operational Insights 
  • Use Automation to Reduce Effort and Error 

  • Pricing & Payment Options

    NEW SECTION

  • Duration

    In Class/Virtual Class, Hybrid Learning (Learn More) 

    • 2 Days (08:30 – 16:00) Classes are  presented via our Hybrid Learning allowing  learners the flexibility to attend on campus or in the comfort of their home or workplace. 

  • Course Prerequisites

    Successful learners 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 

Our Delivery Methods

Our innovative "myWay” learning methodology is built around the students individual learning requirement, allowing each student to learn in a style that is most suitable for their skills set, knowledge and schedule.

Instructor-Led Classes

Reach your full potential through our “myWay Instructor-Led” classes combined with interactive lessons, supporting video content, practical assignments and in field experience, done during the traditional 08:00 – 16:00 working day.

Learn more

Online Mentored Learning

Do a course at your pace via our “myWay Online Mentored Learning”, combining self-study with supported interactive online video lectures, an online course mentor, extra resources, questionnaires and more, all supported via out Online Student Portal.

Learn more

Part Time Mentored Learning

Designed for the working professional, our part time programmes provides you with the flexibility and benefit of our myWay Blended Learning with at home exercises/assignments and mentored or in-class lectures at a manageable schedule and pace.

Learn more

Our Hybrid Delivery Methods

Our Hybrid Delivery Methods

myWay Hybrid Learning is a technology mediated delivery method that extends the benefit of flexibility and technology to all students. Each Hybrid delivery method is described in the section below.

#AnywhereAnytime

Have all your classes ready to be downloaded and watched, anytime, anywhere.

#NoStudentLeftBehind

Never miss a classs because of health, traffic, or transport issues.

#Flexibility

A personalized class schedule, attend class on campus, virtually or both.

 

In Class or Virtual Class Based Learning

A technology mediated delivery method allowing campus based class or virtual class attendance, or a combination of both. Classes can be in the form of lecture based or mentored based.

LEARN MORE
 

Mentored Online Learning

A technology mediated, self paced online delivery method with personal mentorship.

LEARN MORE

What you get

On completion the learner will earn:   

 

Note: All certificates are electronically issued.  

Important Notes

  • Learners to arrive at the training venue from 08:00 in preparation for 08:30 starting time 
  • Bookings are only confirmed upon receipt of the proof of payment or an official company purchase order. 
  • For full day, on campus courses, Learnfast will supply you with a computer to use for training (if applicable),& tea/coffee and a full lunch. Catering is not included for On-Site training and laptops are available for hire at an additional cost if required. 
  • Cancellation or rescheduling requests must be in writing and reach us via email at least 5-10 working days prior to the course commencement date. Full course fees will be retained for no shows. 
  • Virtual learners are required to have a stable internet connection & a working headset available for sound purposes.  
  • Learners who use their own laptops are fully responsible to ensure that administration rights, software installations, etc. are working sufficiently prior to training. 
  • Learnfast reserves the right to cancel or postpone dates if we require to do so and undertake to inform clients in writing and telephonically of these changes. 
  • Learnfast is not responsible for costs associated with cancellation of classes such as flight and accommodation for clients. 
 
Module 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 
 
Module 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 
 
Module 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 
 
Module 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 
 
Module 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 
 
Module 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 

 

    No dates have been specified for this course.
    Please contact The CAD Corporation for more information and dates on this course.

By completing the below online booking, a booking confirmation will be sent out and an invoice will be generated. A place will be reserved on this course and you are expected to attend. If you require a quote first please contact Learnfast offices and speak to a sales consultant.

Designing an Azure Data Solution (DP-201T01-A)
  1. By booking for this course, an invoice will be generated and you will be liable for the payment of this invoice. If you require a quote, please contact The CAD Corporation Offices.
  2. After the generation of the invoice a training confirmation will be emailed using the details provided above.
  3. The CAD Corporation retains the rights to change this calendar without any notification.
  4. Tea/coffee and a light lunch will be provided.
  5. All university students will receive a 10% discount for cash payments.
  6. The minimum notice of cancellation is 5 (five) working days prior to the course commencement date. If you fail to do so the full amount is payable.
  7. Students are to be at the training venue by 08h00 in preparation for a 08h30 start time.
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As a valued friend of Learnfast, we take your privacy seriously. The POPI Act comes into effect on 1 July 2021 and, we would like to assure you that we treat your information with sensitivity and confidentiality.

By filling in this form, you agree to receive newsletters and communication from Learnfast.
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