This course is ideal for students aspiring to achieve the "Microsoft Certified: Azure Data Engineer Associate" certification.

It includes comprehensive content aligned with the DP-203 exam.

The course objectives focus on the following areas:

Design and implement data storage (15–20%)

Develop data processing (40–45%)

Secure, monitor, and optimize data storage and data processing (30–35%)

This Course structure organizes the course into a logical progression while providing a clear breakdown of the covered topics. Here’s is the structured outline of the course sections:1. Introduction and Setup

Overview of the course and initial setup.

2. Design and Implement Data Storage

Azure Data Lake: Understanding and implementing data storage with Azure Data Lake.

Azure SQL Server: Designing storage solutions using Azure SQL Server.

Cosmos DB: Exploring storage capabilities with Cosmos DB.

Azure Synapse Analytics: Building and managing storage in Azure Synapse Analytics.

3. Develop Data Processing

Azure Synapse Spark Pool: Leveraging Spark pools in Azure Synapse for data processing.

Azure Data Factory: Developing ETL pipelines and data flows in Azure Data Factory.

Azure Databricks: Implementing data processing workflows with Azure Databricks.

Azure Event Hubs: Streaming and processing real-time data using Azure Event Hubs.

Azure Stream Analytics: Real-time data stream processing with SQL-based queries.

4. Secure Your Data

Azure Data Lake Security: Implementing security best practices for Azure Data Lake.

Azure Synapse Analytics Security: Securing data in Azure Synapse Analytics.

Azure Data Factory and Databricks Security: Ensuring secure data workflows in Azure Data Factory and Databricks.

4. Monitor and Optimize

Azure Data Lake Storage: Monitoring and optimizing storage performance.

Azure Data Factory: Ensuring efficient operations with monitoring tools.

Azure Synapse Analytics: Performance tuning and monitoring analytics workloads.

Azure Stream Analytics and Cosmos DB: Streamlining data streams and database operations.

Data Governance with Microsoft Purview: Managing and governing data using Microsoft Purview.

5. Exam Preparation

Past Papers and Practice: Access to 500 exam questions to solidify knowledge and prepare for certification.