1 - Azure for the Data Engineer
Explain the evolving world of dataSurvey the services in the Azure Data PlatformIdentify the tasks that are performed by a Data EngineerDescribe the use cases for the cloud in a Case StudyLab : Azure for the Data Engineer
2 - Working with Data Storage
Choose a data storage approach in AzureCreate an Azure Storage AccountExplain Azure Data Lake storageUpload data into Azure Data LakeLab : Working with Data Storage
3 - Enabling Team Based Data Science with Azure Databricks
Explain Azure Databricks and Machine Learning PlatformsDescribe the Team Data Science ProcessProvision Azure Databricks and workspacesPerform data preparation tasksLab : Enabling Team Based Data Science with Azure Databricks
4 - Building Globally Distributed Databases with Cosmos DB
Create an Azure Cosmos DB database built to scaleInsert and query data in your Azure Cosmos DB databaseProvision a .NET Core app for Cosmos DB in Visual Studio CodeDistribute your data globally with Azure Cosmos DBLab : Building Globally Distributed Databases with Cosmos DB
5 - Working with Relational Data Stores in the Cloud
SQL Database and SQL Data WarehouseProvision an Azure SQL database to store dataProvision and load data into Azure SQL Data WarehouseLab : Working with Relational Data Stores in the Cloud
6 - Performing Real-Time Analytics with Stream Analytics
Explain data streams and event processingQuerying streaming data using Stream AnalyticsHow to process data with Azure Blob and Stream AnalyticsHow to process data with Event Hubs and Stream AnalyticsLab : Performing Real-Time Analytics with Stream Analytics
7 - Orchestrating Data Movement with Azure Data Factory
Explain how Azure Data Factory worksCreate Linked Services and datasetsCreate pipelines and activitiesAzure Data Factory pipeline execution and triggersLab : Orchestrating Data Movement with Azure Data Factory
8 - Securing Azure Data Platforms
Configuring Network SecurityConfiguring AuthenticationConfiguring AuthorizationAuditing SecurityLab : Securing Azure Data Platforms
9 - Monitoring and Troubleshooting Data Storage and Processing
Data Engineering troubleshooting approachAzure Monitoring CapabilitiesTroubleshoot common data issuesTroubleshoot common data processing issuesLab : Monitoring and Troubleshooting Data Storage and Processing
10 - Integrating and Optimizing Data Platforms
Integrating data platformsOptimizing data storesOptimize streaming dataManage disaster recoveryLab : 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?
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.
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: