Udemy – Data Engineering 101: The Beginner’s Guide 2024-5

Data Engineering 101: The Beginner’s Guide. This course will help you understand the basics of data engineering. In this course, we will decipher the complexities of this field and provide you with a solid foundation in modern data engineering. Designed specifically for newcomers to the field, this course provides a clear and concise introduction to the essential concepts and tools used in modern data engineering today. What you will learn

• What is data engineering? Learn the basic concept of data pipelines and the role of data engineering in a larger data team.
• End-to-End Data Pipeline: Explore the entire data pipeline process from generating, storing, ingesting, transforming and presenting data. Learn how data flows from creation to consumption.
• Important Data Engineering Concepts: Learn the most important concepts in data engineering, such as data warehouse vs data lakehouse, row-based vs column-based data stores, ELT vs. ETL and more.
• Introduction to Modern Data Engineering Tools: See how modern data tools such as Dagster, Trino, DBT and Apache Iceberg are used to build end-to-end data pipelines.
• Examples of Modern Data Stack Architecture: Learn the tools and technologies data engineers use to design modern end-to-end data pipelines for four common use cases: 1) Business Analytics, 2) Streaming , 3) machine learning and 4) deep learning.

Who will take this lesson:

• Beginners who are curious about building a career in data engineering.
• Data professionals such as data scientists or data analysts who seek to understand the principles of modern data engineering.
• Anyone who wants to learn about the role of data engineering in data-driven businesses.

Why take this course?

• This course is designed as an introduction to the field of data engineering. It breaks down data engineering into specific parts in a data pipeline so you can see what data engineering is all about.
• You will leave with a clear understanding of the nature of data engineering and a solid foundation to further explore advanced topics or build a modern data stack.

What you will learn in Data Engineering 101: The Beginner’s Guide

This course is suitable for people who

• Beginners interested in building a career in data engineering.
• Data professionals such as data scientists or data analysts who seek to understand the basics of modern data engineering.
• Anyone who wants to learn about the role that data engineering plays in data-driven businesses.

Data Engineering 101: The Beginner’s Guide course description

• Publisher:  Udemy
• Instructor:  Seungchan Lee , Nami Kim
• Training level: beginner to advanced
• Training duration: 3 hours and 47 minutes
• Number of courses: 48

Course headings

Data Engineering 101: The Beginner’s Guide course prerequisites

• No prior knowledge of data engineering required. You’ll learn everything you need to know.
• No programming experience required.

Course images

Sample video of the course

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989 MB