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Course Information

Implementing an Azure Data Solution Certification (M-DP200)​ Course Outline

Module 1: Azure for the Data Engineer

This module explores how the world of data has evolved and how cloud datAudiencea 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

Lessons

  • 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

Lab: Azure for the Data Engineer

  • Identify the evolving world of data
  • Determine the Azure Data Platform Services
  • Identify tasks to be performed by a Data Engineer
  • Finalize the data engineering deliverables

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.

Lessons

  • Choose a data storage approach in Azure
  • Create an Azure Storage Account
  • Explain Azure Data Lake storage
  • Upload data into Azure Data Lake

Lab: Working with Data Storage

  • Choose a data storage approach in Azure
  • Create a Storage Account
  • Explain Data Lake Storage
  • Upload data into Data Lake Store

 

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.

Lessons

  • Explain Azure Databricks
  • Work with Azure Databricks
  • Read data with Azure Databricks
  • Perform transformations with Azure Databricks

Lab: Enabling Team Based Data Science with Azure Databricks

  • 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.

Lessons

  • 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

Lab: Building Globally Distributed Databases with Cosmos DB

  • Create an Azure Cosmos DB
  • Insert and query data in Azure Cosmos DB
  • Build a .Net Core App for Azure Cosmos DB using VS Code
  • Distribute 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.

Lessons

  • 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

Lab: Working with Relational Data Stores in the Cloud

  • 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.

Lessons

  • Explain data streams and event processing
  • Data Ingestion with Event Hubs
  • Processing Data with Stream Analytics Jobs

Lab: Performing Real-Time Analytics with Stream Analytics

  • 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.

Lessons

  • Explain how Azure Data Factory works
  • Azure Data Factory Components
  • Azure Data Factory and Databricks

Lab: Orchestrating Data Movement with Azure Data Factory

  • Explain how 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.

Lessons

  • An introduction to security
  • Key security components
  • Securing Storage Accounts and Data Lake Storage
  • Securing Data Stores
  • Securing Streaming Data

Lab: Securing Azure Data Platforms

  • 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.

Lessons

  • Explain the monitoring capabilities that are available
  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  • Manage disaster recovery

Lab: Monitoring and Troubleshooting Data Storage and Processing

  • Explain the monitoring capabilities that are available
  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  • Manage disaster recovery

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Prerequisites

There are no formal prerequisites for attending this course.

Audience

Data professionals, data architects, and business intelligence experts who want to learn more about Microsoft Azure's data platform technologies and Develop applications that deliver content from Microsoft Azure's data platform technologies.

Retired​: Implementing an Azure Data Solution Certification (M-DP200)​ Overview

In this course, delegates will learn how to implement various data platform technologies in solutions that meet business and technical needs, including on-premise, cloud, and hybrid data scenarios, which include both relational and no-SQL data. Delegates will also learn how to process data using a range of technologies and languages ​​for both streaming and batch data.

This course explores how to implement data security, including authentication, authorisation, data policies and standards,  and implement data solution monitoring for both data storage and data processing. Eventually, they will manage and troubleshoot Azure data solutions, including optimising and restoring large volumes of data, batch processing, and streaming data solutions.

This role-based course can be used to prepare for certification as a Microsoft Azure Data Engineer.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

This is our most popular style of learning. We run courses in 1200 locations, across 200 countries in one of our hand-picked training venues, providing the all important ‘human touch’ which may be missed in other learning styles.

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Highly experienced trainers

All our trainers are highly qualified, have 10+ years of real-world experience and will provide you with an engaging learning experience.

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

We limit our class sizes to promote better discussion and ensuring everyone has a personalized experience

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Great value for money

Get more bang for your buck! If you find your chosen course cheaper elsewhere, we’ll match it!

This is the same great training as our classroom learning but carried out at your own business premises. This is the perfect option for larger scale training requirements and means less time away from the office.

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Tailored learning experience

Our courses can be adapted to meet your individual project or business requirements regardless of scope.

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

This gives your team a great opportunity to come together, bond, and discuss, which you may not get in a standard classroom setting.

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Monitor employees progress

Keep track of your employees’ progression and performance in your own workspace.

What our customers are saying

Frequently asked questions

FAQ's

Please arrive at the venue at 8:45am.
There are no formal prerequisites for attending this course.
Data professionals, data architects, and business intelligence experts who want to learn more about Microsoft Azure's data platform technologies and Develop applications that deliver content from Microsoft Azure's data platform technologies.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 3 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Retired: Implementing an Azure Data Solution Certification MDP200 certification in the United Kingdom starts from £2295
The Knowledge Academy is the Leading global training provider in the world for Retired: Implementing an Azure Data Solution Certification MDP200.

Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Trusted & Approved

Microsoft Azure Training

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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