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Description
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.
- Design and implement data storage (15–20%)
- Develop data processing (40–45%)
- Secure, monitor, and optimize data storage and data processing (30–35%)
- Overview of the course and initial setup.
- 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.
- 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.
- 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.
- 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.
- Past Papers and Practice : Access to 500 exam questions to solidify knowledge and prepare for certification.
Who this course is for:
- If you want to boost your career in the field of data engineering.
- Professional who will like to transform yourself into a skilled data engineer, this course is for you.
- Mastering DP-203 empowers you to build analytical solutions using Microsoft Azure's data platform technologies, paving the way for a successful career in data engineering.
- This course is tailored for data professionals, and BI and Data Analytics specialists aiming to deepen their knowledge of data engineering.