
Udemy – Microsoft DP-203 Certified: Azure Data Engineer Associate
English | Tutorial | Size: 10.7 GB
Preparing for Azure Data Engineer Certification: DP-203 Data Engineering on Microsoft Azure Exam
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.
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