Data Engineering 101: The Beginner's Guide

Master Modern Data Engineering Fundamentals

Are you curious about data engineering but unsure where to begin? Whether you're a software engineer, data scientist, or data analyst looking to expand your skillset, this introductory course provides a solid foundation in modern data engineering. Demystify the complexities of this rapidly growing field and gain essential knowledge of the concepts and tools driving data-driven businesses.

What You'll Learn:

• What Exactly Is Data Engineering? Understand the core concept of data pipelines and the crucial role data engineers play within a broader data team.
• End-to-End Data Pipeline: Explore every stage of the data pipeline, from data generation and data storage to data ingestion, data transformation, and data serving. Learn how data moves from creation to consumption.
• Critical Data Engineering Concepts: Grasp key data engineering concepts, including data warehouse vs data lakehouse, row-based vs column-based data stores, and ELT vs ETL methodologies.
• Introduction to Modern Data Engineering Tools: Discover how contemporary data tools like Dagster, Trino, DBT, and Apache Iceberg are used to build robust data pipelines.
• Modern Data Stack Architecture Examples: Gain a foundational understanding of the tools and technologies used by data engineers to architect end-to-end modern data pipelines for common use cases:
  • Business Analytics
  • Streaming Data
  • Machine Learning (ML)
  • Deep Learning

Who Should Take This Course?

• Beginners interested in launching a career in data engineering.
• Data professionals (Data Scientists, Data Analysts) seeking to understand the fundamentals of modern data engineering.
• Anyone wanting to learn the role data engineering plays in data-driven businesses.

Why Take This Course?

This course offers a gentle introduction to data engineering, breaking down complex topics into manageable sections within the data pipeline. You’ll gain a clear understanding of what data engineering entails and build a strong foundation for further exploration or building your own modern data stack.

What This Course Is NOT:

This course is not a tutorial focused on hands-on implementation. You won't learn to set up and use tools like Spark or Airflow, or write extensive SQL statements. There's no Docker setup, tool installations, or coding exercises.

If you're seeking a tutorial-style course focused on building data pipelines with open-source tools, explore our more advanced data engineering courses.

Join us on this exciting journey to discover the fundamentals of data engineering! Whether you're considering a career change or expanding your technical knowledge, this course provides the knowledge and tools you need to succeed.

Ready to transform your understanding of data? Enroll now and let's get started!