Azure Data Engineering Masters: Build Scalable Solutions
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What you'll learn
- Fundamentals of Data Engineering: Understand the core concepts, roles, and responsibilities within data engineering, including data lifecycle management.
- SQL Proficiency: Master both basic and advanced SQL techniques for querying, data modeling, and optimizing database performance.
- Python Programming: Gain hands-on experience in Python, focusing on essential programming concepts, data manipulation, and file handling.
- Databricks & PySpark Skills: Learn to use Databricks for data processing and transformations with PySpark, including building efficient ETL pipelines.
- Azure Services Expertise: Explore various Azure services, including Azure Data Factory, Azure Synapse, and Azure Storage, for data integration and analytics.
- Data Visualization with Power BI: Create interactive dashboards and reports using Power BI, integrating data from multiple sources and leveraging AI tools.
- Real-World Project Experience: Apply learned skills in practical projects that simulate industry scenarios, enhancing problem-solving and project management abi
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