Requirements

• Prerequisites:
• Familiarity with any database system and basic proficiency in SQL is good to have.
• A foundational knowledge of data formats is expected. e.g csv etc

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.

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 Azures 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.