Take advantage of a coupon code for the 'Microsoft DP-203 Certified: Azure Data Engineer Associate' course, created by Nasir Arslan, available on Udemy.
This course, updated on April 11, 2025 and it is expired on April 11, 2025.
This course provides 20 hour(s) of expert-led training in English , designed to boost your IT Certifications skills.
Highly rated at 4.1-star stars from 32 reviews, it has already helped 5,780 students.
This exclusive coupon is shared by Anonymous,
at the price
44.99 $
9.99 $
Don’t miss this opportunity to level up your skills!
You can find the discounted coupon code for this course at the end of this article
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.