Azure Data Engineering Masters: Build Scalable Solutions

Source: https://www.udemy.com/course/azure-data-engineering-masters/

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

Requirements

• Basic Understanding of Data Concepts: Familiarity with fundamental data concepts and terminology.
• Basic SQL Knowledge: Introductory knowledge of SQL is helpful but not mandatory.
• Familiarity with Programming: Basic experience in any programming language, preferably Python.
• Interest in Data Engineering: A keen interest in data engineering and cloud technologies.
• Computer with Internet Access: A reliable computer and internet connection for accessing course materials and participating in hands-on labs.
• Willingness to Learn: A proactive attitude towards learning and engaging with new technologies.

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