Advanced Data Engineering – Cloud & On-Prem

Data engineering at scale requires robust solutions that handle massive, diverse datasets efficiently while ensuring high availability, performance, and security.

This advanced course equips participants with practical skills for designing, building, and optimizing enterprise-grade data pipelines and architectures across both cloud and on-premise environments. Participants will gain hands-on knowledge in modern tools, distributed processing frameworks, and best practices for data integration and orchestration.

The course emphasizes real-world applications, including batch and real-time processing, cloud-native solutions, and performance optimization.

By the end of the program, participants will be able to design scalable, secure, and high-performing data systems that support analytics, machine learning, and enterprise decision-making.

• Design and implement scalable, high-performance data pipelines in cloud and on-prem environments.
• Optimize ETL/ELT processes and distributed data processing frameworks.
• Integrate structured, semi-structured, and unstructured data for analytics and AI.
• Ensure data quality, monitoring, and governance in enterprise pipelines.
• Apply best practices for cloud-native and hybrid data architectures.