Essentials of Data Engineering

The Data Engineering course provides a comprehensive understanding of the principles and practices involved in designing, building, and maintaining scalable data systems. This course covers the essential skills needed to manage and optimize data pipelines, storage, and processing frameworks.

Learning Outcomes

By the end of this course, students will be able to:

• Understand the fundamental concepts and roles in data engineering.
• Design and implement efficient data ingestion and storage solutions.
• Build and manage data pipelines for batch and real-time data processing.
• Utilize big data technologies and frameworks for large-scale data processing.
• Ensure data quality, governance, and security.
• Leverage cloud platforms to build scalable and cost-effective data solutions.

Prerequisites

• Basic understanding of databases and SQL.
• Familiarity with programming languages like Python or Java.
• Knowledge of basic data processing concepts is helpful but not required.

Certification

Upon successful completion of the course, participants will receive a Certificate of completion, confirming their skills in data engineering practices, including data architecture, pipeline development, and data management.