Course DP-200T01 Implementing an Azure Data Solution

In this course, the 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.

The 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.

After completing this course, students will be able to:

• 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;
• Build a .NET Core app for Azure Cosmos DB in Visual Studio Code;
• 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.

Audience Profile

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.

Before attending this course, students must have:

In addition to their professional experience, students who take this training should have technical knowledge of Azure fundamentals.