Data Modeling in the Modern Data Stack

Learners: 37,866

Instructor: Kahan Data Solutions

Duration:

Data Modeling is a critical decision for any data team, and it's even more important in today's modern data stack. In this course, you'll learn why Data Modeling is still important, the common approaches, and what to consider when making decisions. You'll also get an introduction to Census and Reverse ETL, and how they can help you in your data journey. Don't miss out on this opportunity to learn more about Data Modeling and how to make the most of your data stack. ▼▲

Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Free

Provider:

Youtube

Certificate:

No Information

Language:

English

Start Date:

2022-08-17 00:00:00

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 18th, 2023]

This course, Data Modeling in the Modern Data Stack, will provide an overview of the importance of data modeling and the common approaches used in the modern data landscape. Participants will learn why data modeling is still important, what the common approaches are, and what things should be considered when making decisions. The course will be sponsored by Census and Reverse ETL, and participants will be provided with a link to learn more about these services.

Pros & Cons

Pros Cons

Solid overview: The course provides a comprehensive overview of data modeling in the modern data stack, which is beneficial for individuals new to data engineering.
Balanced and to-the-point summary: The course offers a well-balanced and concise summary of the pros and cons of different data modeling approaches, helping learners understand the Lack of practical exercises: Some users expressed a desire for more practical exercises and hands-on experience with dimensional data modeling, as they find it more helpful in understanding the concepts.
Limited depth on hybrid models: One user mentioned that they would have liked a deeper exploration of the hybrid model presented in the course, indicating that the course may not provide extensive coverage of this specific topic.