Data Engineering
About This Course
Master the skills to design, build, and maintain data pipelines that power analytics and AI. This course covers modern data engineering tools, cloud platforms, and best practices to ensure data is reliable, scalable, and ready for analysis. Learn through hands-on projects and real-world scenarios.
Learning Objectives
• Fundamentals of data engineering and ETL processes
• Data modeling and schema design
• SQL for querying and managing data
• Big Data frameworks (Hadoop, Spark)
• Cloud platforms (AWS, Azure, Google Cloud) for data engineering
• Data pipeline orchestration (Airflow, Azure Data Factory)
• Working with APIs and streaming data
• Data quality, governance, and security
• Integration with BI and analytics tools
• Performance optimization and scalability techniques
Target Audience
- • Aspiring data engineers and ETL developers
- • Software engineers transitioning into data roles
- • BI and analytics professionals
- • Data scientists looking to build data pipelines
- • Students aiming for careers in Big Data and cloud computing