Description
Data Engineering 101: A Beginner’s Guide. This course will help you understand the fundamentals of data engineering. In this course, we will break down the complexities of this field and provide you with a solid foundation in modern data engineering. Designed specifically for those new to the field, this course provides a clear and concise introduction to the core concepts and tools used in modern data engineering today. What will you learn
- What is data engineering? Learn the basic concept of data pipelines and the role of data engineering in a large data team.
- End-to-End Data Pipeline: Explore the entire data pipeline process from creating, storing, ingesting, transforming, and presenting data. Learn how data moves from creation to consumption.
- Important Data Engineering Concepts: Learn the most important data engineering concepts such as data warehouse and data lake, row and column based data warehouses, ELT and column based data warehouses. ETL and much more.
- Introduction to modern data processing tools. Learn how modern data science tools such as Dagster, Trino, DBT, and Apache Iceberg are used to build end-to-end data pipelines.
- Examples of modern data stack architecture: Explore the tools and technologies data engineers use to design modern end-to-end data pipelines for four common use cases: 1) business intelligence, 2) streaming, 3) machine learning, and 4) deep learning.
Who is this lesson for:
- Newbies who are interested in pursuing a career in data engineering.
- Data professionals, such as data scientists or data analysts, who seek to understand the principles of modern data processing.
- Anyone who wants to learn about the role of data engineering in a data-driven business.
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 of the data pipeline so you can understand what data engineering is.
- You’ll leave with a clear understanding of the nature of data science and a solid foundation for further exploration of complex topics or building a modern data stack.
What this course is not:
- Before participating in this course, you must know what the course is. This is not a training course. So if you want to learn how to set up and use tools like Spark or Airflow, or write SQL statements, this is not the course for you.
- No docker installation, tool installation, or coding required.
- If you’re looking for a course like this, check out our more advanced data engineering courses where we’ll teach you how to build end-to-end data pipelines using cutting-edge open source tools.
Join us on this exciting journey to discover the fundamentals of data engineering. Whether you’re planning a career change or simply want to expand your technological horizons, this course will provide you with the knowledge and tools you need to succeed.
Ready to change the way you view your data? Join the course and let’s get started!
What You’ll Learn in Data Engineering 101: A Beginner’s Guide
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Gain an intuitive understanding of data engineering
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Understanding the most important concepts in data science
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Learn what an end-to-end data pipeline consists of and what each part does.
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Improve your understanding with examples of end-to-end data pipeline architectures for the most popular use cases.
This course is suitable for people who
- Newbies interested in building a career in data engineering.
- Data scientists, such as data scientists or data analysts, who seek to understand the fundamentals of modern data engineering.
- Anyone who wants to learn about the role that data engineering plays in a data-driven business.
Data Engineering 101: Beginner’s Guide Course Description
- Publisher: Udemy
- Instructor: Seungchan Lee , Namie Kim
- Level of training: from beginner to advanced
- Duration of training: 3 hours 47 minutes.
- Number of courses: 48
Course headings
Data Engineering 101: Beginner’s Guide Course Prerequisites
- No prior data science knowledge is required. You will learn everything you need to know.
- No programming experience required.
course images
Example video course
installation instructions
Once extracted, watch using your favorite player.
Subtitles: No
Quality: 720p
Download link
Password for file(s): www.downloadly.ir
size
989 MB