Microsoft Certified Azure Data Engineer Associate - Course DP-200 and Course DP-201

 

Azure Data Engineers design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs.

Exam DP-200: Implementing an Azure Data Solution

This exam measures your ability to accomplish the following technical tasks: implement data storage solutions; manage and develop data processing; and monitor and optimize data solutions.

Exam DP-201: Designing an Azure Data Solution

This exam measures your ability to accomplish the following technical tasks: design Azure data storage solutions; design data processing solutions; and design for data security and compliance.

The following course prepare the exam DP-200:

DP-200: 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. Implementing an Azure Data Solution course DP-200

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.

Course Outline

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. Microsoft Certified Azure Data Fundamentals

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

After completing this module, 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

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

After completing this module, students will be able to:

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.

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

After completing this module, students will be able to:

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

After completing this module, students will be able to:

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

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

After completing this module, students will be able to:

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

Module 6: Performing Real-Time Analytics with Stream

AnalyticsIn 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

After completing this module, students will be able to:

Explain data streams and event processing

Data Ingestion with Event Hubs

Processing Data with Stream Analytics Jobs