Microsoft Azure Data Engineer Associate (DP-203) Related Real-Time Projects
Hands-On Learning for Azure Data Engineering Mastery
Our Microsoft Azure Data Engineer Associate (DP-203) training includes real-world projects designed to prepare you for the DP-203 exam and high-demand data engineering roles in the IT industry. These projects simulate practical Azure data engineering scenarios, helping you master data integration, storage, and processing on Azure.
Guided by expert instructors with over 12 years of experience, our hands-on labs ensure you build a robust portfolio to impress employers like TCS, Wipro, and Infosys. Available in both classroom and online modes, our projects are customizable to align with your professional or academic requirements.
Microsoft Azure Data Engineer Associate Classroom/Online Project List
- Data Pipeline with Azure Data Factory: Design and implement a data pipeline to ingest and transform data using Azure Data Factory.
- Data Lake Storage Solution: Create a scalable data lake using Azure Data Lake Storage for big data analytics.
- Azure Synapse Analytics Workspace: Build a data warehouse solution using Azure Synapse Analytics for data integration and analytics.
- Real-Time Data Streaming: Develop a real-time data streaming solution using Azure Stream Analytics for processing live data.
- Data Integration with Databricks: Implement a data processing workflow using Azure Databricks for large-scale data analytics.
- Data Security Implementation: Secure data assets using Azure Key Vault and Azure Data Lake Storage encryption.
- ETL Workflow Automation: Automate an Extract, Transform, Load (ETL) process using Azure Data Factory and Azure SQL Database.
- Data Catalog Creation: Build a data catalog using Azure Data Catalog for efficient data discovery and governance.
- Azure Cosmos DB Integration: Develop a globally distributed database solution using Azure Cosmos DB for high-performance applications.
- Data Monitoring Dashboard: Create a monitoring dashboard using Azure Monitor and Synapse Analytics to track data pipeline performance.
Note: We offer customized project support to meet specific professional or academic requirements, ensuring alignment with your career goals.