Introduction to Data Engineering (2025)

Embark on your data engineering journey with the Introduction to data engineering course. This course provides a comprehensive foundation in the core concepts and tools that drive modern data engineering workflows. From data pipelines to data lakes, you will learn how to design, implement, and manage large-scale data systems and workflows using industry-standard technologies.

What You’ll Learn

• Understanding the role of a data engineer in modern data workflows
• Building scalable data pipelines for ETL (Extract, Transform, Load)
• Working with relational and non-relational databases (SQL & NoSQL)
• Designing and implementing data lakes for big data management
• Data warehousing concepts and tools
• Integrating data systems with cloud platforms like AWS and Azure
• Automating data workflows using orchestration tools (Airflow, Luigi)
• Data governance, security, and compliance best practices

Requirements

• Basic understanding of databases and data structures
• Familiarity with programming languages like Python or Java is helpful
• An interest in learning data engineering principles and technologies

Course Description

The Introduction to data engineering course is designed to provide a solid understanding of the essential concepts, tools, and best practices required to build efficient, scalable data systems. Data engineers are the backbone of data-driven organizations, ensuring the smooth flow and accessibility of data for analysis and decision-making.

This course covers key data engineering topics such as building data pipelines, working with databases (both relational and non-relational), and leveraging cloud technologies to store and process large datasets. You will also learn about data orchestration and automation, crucial skills for streamlining and maintaining data workflows. In addition, the course touches on security and compliance, essential for handling sensitive and large-scale data.

By the end of this course, you will have the foundational knowledge and skills to begin your career as a data engineer, working on data pipelines, data storage, and data processing solutions in a variety of industries.

About the Instructor

This course is created by seasoned data engineers with years of experience working in data architecture, big data systems, and cloud computing. The instructors provide a clear, hands-on approach to learning, ensuring that students gain practical knowledge to apply in real-world projects.

Explore These Valuable Resources

• Coursera: What is Data Engineering?
• Dataversity: Introduction to Data Engineering
• IBM: Data Engineering Fundamentals

Explore Related Courses

• Introduction to Python for Data Science
• Data Pipeline Development with Apache Spark
• Big Data Architecture & Tools
• Cloud Data Solutions and Architecture
• Data Warehousing Fundamentals