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Home > Implementing An Azure Data Solution (dp-200t01-a)

Implementing an Azure Data Solution (DP-200T01-A)

Learnfast is a Microsoft Silver Learning Partner. This is an authorised Microsoft Official Course (MOC), a preparation course for the DP-200: Implementing an Azure Data Solution exam. 

Welcome to the Implementing and Azure Data Solution course. 

 

In this three-day course learners will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.  

 
The learner will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions. 

 

Job role: Data Engineer 

 

Features & Benefits

        

  • Learners will gain confidence to take 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 

  • Explain the evolving world of data 
  • Survey the services in the Azure Data Platform 
  • Identify the tasks that are performed by a Data Engineer 
  • Describe the use cases for the cloud in a Case Study 
  • Choose a data storage approach in Azure 
  • Create an Azure Storage Account 
  • Explain Azure Data Lake Storage 
  • Upload data into Azure Data Lake 
  • Explain Azure Databricks 
  • Work with Azure Databricks 
  • Read data with Azure Databricks 
  • Perform transformations with Azure Databricks 
  • Create an Azure Cosmos DB database built to scale 
  • Insert and query data in your Azure Cosmos DB database 
  • Distribute your data globally with Azure Cosmos DB 
  • Use Azure SQL Database 
  • Describe Azure Data Warehouse 
  • Creating and Querying an Azure SQL Data Warehouse 
  • Using PolyBase to Load Data into Azure SQL Data Warehouse 
  • Explain data streams and event processing 
  • Data Ingestion with Event Hubs 
  • Processing Data with Stream Analytics Jobs 
  • Azure Data Factory and Databricks 
  • Azure Data Factory Components  
  • Explain how Azure Data Factory works 
  • An introduction to security 
  • Key security components 
  • Securing Storage Accounts and Data Lake Storage 
  • Securing Data Stores 
  • Securing Streaming Data 
  • Explain the monitoring capabilities that are available 
  • Troubleshoot common data storage issues 
  • Troubleshoot common data processing issues 
  • Manage disaster recovery 

  • Pricing & Payment Options

    NEW SECTION

  • Duration

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

    • 3 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: 

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: Azure for the Data Engineer 
This module explores how the world of data has evolved and how cloud data platform technologies are providing new opportunities for business to explore their data in different ways. The student will gain an overview of the various data platform technologies that are available, and how a Data Engineers role and responsibilities has evolved to work in this new world to an organization benefit. 
 
  • Explain the evolving world of data 
  • Survey the services in the Azure Data Platform 
  • Identify the tasks that are performed by a Data Engineer 
  • Describe the use cases for the cloud in a Case Study 
 
 
Module 2: Working with Data Storage 
This module teaches the variety of ways to store data in Azure. The Student will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud. They will also understand how data lake storage can be created to support a wide variety of big data analytics solutions with minimal effort. 
 
  • Choose a data storage approach in Azure 
  • Create an Azure Storage Account 
  • Explain Azure Data Lake storage 
  • Upload data into Azure Data Lake 
 
 
Module 3: Enabling Team Based Data Science with Azure Databricks 
This module introduces students to Azure Databricks and how a Data Engineer works with it to enable an organization to perform Team Data Science projects. They will learn the fundamentals of Azure Databricks and Apache Spark notebooks; how to provision the service and workspaces and learn how to perform data preparation task that can contribute to the data science project. 
 
  • Explain Azure Databricks 
  • Work with Azure Databricks 
  • Read data with Azure Databricks 
  • Perform transformations with Azure Databricks 
 
 
Module 4: Building Globally Distributed Databases with Cosmos DB 
In this module, students will learn how to work with NoSQL data using Azure Cosmos DB. They will learn how to provision the service, and how they can load and interrogate data in the service using Visual Studio Code extensions, and the Azure Cosmos DB .NET Core SDK. They will also learn how to configure the availability options so that users are able to access the data from anywhere in the world.
 
  • Create an Azure Cosmos DB database built to scale 
  • Insert and query data in your Azure Cosmos DB database 
  • Build a .NET Core app for Cosmos DB in Visual Studio Code 
  • Distribute your data globally with Azure Cosmos DB 
 
 
Module 5: Working with Relational Data Stores in the Cloud 
In this module, students will explore the Azure relational data platform options including SQL Database and SQL Data Warehouse. The student will be able explain why they would choose one service over another, and how to provision, connect and manage each of the services. 
 
  • Use Azure SQL Database 
  • Describe Azure SQL Data Warehouse 
  • Creating and Querying an Azure SQL Data Warehouse 
  • Use PolyBase to Load Data into Azure SQL Data Warehouse 
 
 
Module 6: Performing Real-Time Analytics with Stream Analytics 
In this module, students will learn the concepts of event processing and streaming data and how this applies to Events Hubs and Azure Stream Analytics. The students will then set up a stream analytics job to stream data and learn how to query the incoming data to perform analysis of the data. Finally, you will learn how to manage and monitor running jobs. 
 
  • Explain data streams and event processing 
  • Data Ingestion with Event Hubs 
  • Processing Data with Stream Analytics Jobs 
 
 
Module 7: Orchestrating Data Movement with Azure Data Factory 
In this module, students will learn how Azure Data factory can be used to orchestrate the data movement and transformation from a wide range of data platform technologies. They will be able to explain the capabilities of the technology and be able to set up an end to end data pipeline that ingests and transforms data. 
 
  • Explain how Azure Data Factory works 
  • Azure Data Factory Components 
  • Azure Data Factory and Databricks 
 
 
Module 8: Securing Azure Data Platforms 
In this module, students will learn how Azure provides a multi-layered security model to protect your data. The students will explore how security can range from setting up secure networks and access keys, to defining permission through to monitoring across a range of data stores. 
 
  • An introduction to security 
  • Key security components 
  • Securing Storage Accounts and Data Lake Storage 
  • Securing Data Stores 
  • Securing Streaming Data 
 
 
Module 9: Monitoring and Troubleshooting Data Storage and Processing 
In this module, the student will get an overview of the range of monitoring capabilities that are available to provide operational support should there be issue with a data platform architecture. They will explore the common data storage and data processing issues. Finally, disaster recovery options are revealed to ensure business continuity. 
 
  • Explain the monitoring capabilities that are available 
  • Troubleshoot common data storage issues 
  • Troubleshoot common data processing issues 
  • Manage disaster recovery 

 

    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.

Implementing an Azure Data Solution (DP-200T01-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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