Training and Certifications > Course Outline

DP-200T01 Implementing an Azure Data Solution

In this course, students 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.

Students 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.

DP-200T01 Implementing an Azure Data Solution

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Learning Objectives

Please refer to overview.

 

Course Details

Course Outline

1 - Azure for the Data Engineer
  • 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
    • 2 - Working with Data Storage
  • 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
    • 3 - Enabling Team Based Data Science with Azure Databricks
  • Explain Azure Databricks and Machine Learning Platforms
  • Describe the Team Data Science Process
  • Provision Azure Databricks and workspaces
  • Perform data preparation tasks
  • Lab : Enabling Team Based Data Science with Azure Databricks
    • 4 - Building Globally Distributed Databases with Cosmos DB
  • Create an Azure Cosmos DB database built to scale
  • Insert and query data in your Azure Cosmos DB database
  • Provision 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
    • 5 - Working with Relational Data Stores in the Cloud
  • SQL Database and SQL Data Warehouse
  • Provision an Azure SQL database to store data
  • Provision and load data into Azure SQL Data Warehouse
  • Lab : Working with Relational Data Stores in the Cloud
    • 6 - Performing Real-Time Analytics with Stream Analytics
  • Explain data streams and event processing
  • Querying streaming data using Stream Analytics
  • How to process data with Azure Blob and Stream Analytics
  • How to process data with Event Hubs and Stream Analytics
  • Lab : Performing Real-Time Analytics with Stream Analytics
    • 7 - Orchestrating Data Movement with Azure Data Factory
  • Explain how Azure Data Factory works
  • Create Linked Services and datasets
  • Create pipelines and activities
  • Azure Data Factory pipeline execution and triggers
  • Lab : Orchestrating Data Movement with Azure Data Factory
    • 8 - Securing Azure Data Platforms
  • Configuring Network Security
  • Configuring Authentication
  • Configuring Authorization
  • Auditing Security
  • Lab : Securing Azure Data Platforms
    • 9 - Monitoring and Troubleshooting Data Storage and Processing
  • Data Engineering troubleshooting approach
  • Azure Monitoring Capabilities
  • Troubleshoot common data issues
  • Troubleshoot common data processing issues
  • Lab : Monitoring and Troubleshooting Data Storage and Processing
    • 10 - Integrating and Optimizing Data Platforms
  • Integrating data platforms
  • Optimizing data stores
  • Optimize streaming data
  • Manage disaster recovery
  • Lab : Integrating and Optimizing Data Platforms

    • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

    The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.

    The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.

    Prerequisites

    Other Prerequisites

    In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:

    Azure fundamentals

    DP-200T01 Implementing an Azure Data Solution

    $1,785
    Course Length : 3 Days
     

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