Creating a high-performing data model is one of the key tasks for efficient data engineering. In this course, Data Modeling for Data Engineers, you’ll gain the ability to design and manage efficient data models in various contexts. First, you’ll explore foundational data modeling concepts, and understand the importance of data modeling. Next, you’ll discover the key differences between conceptual, logical, and physical data models, and various performance-optimization techniques for physical implementation in the database design process. Finally, you’ll learn how to apply data modeling concepts in different contexts, such as OLTP and OLAP workloads. When you’re finished with this course, you’ll have the skills and knowledge of data modeling needed to create efficient and scalable data engineering solutions.
Author Name: Nikola Ilic
Author Description:
Nikola Ilic is an officially Business Intelligence Developer, focusing on Microsoft Data Platform technologies, especially Power BI – but “off the record” he is a data fanatic, interested in everything related to extracting meaningful information from the raw data. Nikola is self-proclaimed “Data-Mozart”. As he lives in the wonderful city of Salzburg, Austria, which is well-known as the birthplace of W.A.Mozart, he was brave enough to use the composer’s last name as part of his nickname. That’… more

Table of Contents

• Course Overview
  1min
• Understanding Conceptual and Logical Data Modeling
  19mins
• Understand Physical Data Modeling and Database Design
  19mins
• Understand Data Modeling in Different Contexts
  12mins