What Is Data Engineering - Why Is Data Engineering Important?

Course Feature
  • Cost
    Free
  • Provider
    Youtube
  • Certificate
    No Information
  • Language
    English
  • Start Date
    No Information
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Seattle Data Guy
Next Course
2.5
21,396 Ratings
Are you interested in learning more about data engineering? Check out Seattle Data Guy's GCP certificate course to get started. With this course, you'll learn the fundamentals of data engineering, from building data pipelines and warehouses to understanding the modern data stack. Plus, you can sign up for Seattle Data Guy's newsletter and blog to stay up to date on the latest data engineering news and projects. Support the channel and become a paid member of the newsletter to get exclusive content. Start your data engineering journey today!
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What Is Data Engineering - Why Is Data Engineering Important? Go to class
Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 17th, 2023]

This course, What Is Data Engineering - Why Is Data Engineering Important?, provides an overview of the data engineering field. It covers topics such as what data engineers do, how they build data pipelines and data warehouses, and why they are important. It also provides an introduction to the modern data stack and data infrastructure. Finally, it provides resources for further learning, such as Google's GCP certificate, a newsletter, and a blog. This course is ideal for those who are interested in learning more about data engineering and its applications.

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Pros & Cons
  • Provides utility for other people using computer systems.
  • Phenomenal book recommendation for further learning.
  • Continuous improvement in video quality and content.
  • Helps progress in data engineering career.
  • Offers better understanding through corrected speaking pace.
  • Requires data curation and repair during the ingest phase.
  • Speaking pace may be too fast for some viewers.
  • Lack of explanation on how to use SQL and Python in building a production ETL.
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