This advanced course provides an in-depth exploration of the principles and practices essential for designing, building, and maintaining scalable data systems. Aimed at individuals with foundational knowledge in data management, the curriculum covers advanced skills for optimizing data pipelines, storage solutions, and processing frameworks. Students will learn to leverage cutting-edge technologies and methodologies to handle complex data challenges in modern environments.

Learning Outcomes

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

• Understand and articulate fundamental concepts and roles within the data engineering field
• Design and implement efficient data ingestion and storage solutions tailored to organizational needs
• Construct and manage data pipelines for both batch and real-time processing
• Leverage advanced big data technologies and frameworks for large-scale data processing
• Implement best practices for data quality, governance, and security throughout the data lifecycle
• Utilize cloud services to build scalable, cost-effective data solutions that meet business objectives

Prerequisites

• Proficient understanding of relational and non-relational databases, including advanced SQL techniques
• Strong familiarity with programming languages such as Python, Java, or Scala
• In-depth knowledge of data processing concepts, including ETL processes and data warehousing principles

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.