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You're reading from  Cracking the Data Engineering Interview

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837630776
Edition1st Edition
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Authors (2):
Kedeisha Bryan
Kedeisha Bryan
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Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

Taamir Ransome
Taamir Ransome
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Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome

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Mastering data modeling concepts

In this section, we will explore in detail essential data modeling concepts that every data engineer must be familiar with. Data modeling is the process of structuring and organizing data to represent real-world entities, their attributes, and the relationships between them. A solid understanding of data modeling concepts is crucial for designing efficient and accurate databases.

The following diagram depicts three different data models that can be found in a database:

Figure 9.5 – Three different types of data models

Figure 9.5 – Three different types of data models

Let’s look at these in more detail:

  • Conceptual data model: The conceptual data model represents high-level business concepts and relationships without concerning itself with implementation details. It focuses on capturing essential entities, their attributes, and the associations between them. The conceptual data model serves as a communication tool between data engineers, stakeholders...
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Cracking the Data Engineering Interview
Published in: Nov 2023Publisher: PacktISBN-13: 9781837630776

Authors (2)

author image
Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

author image
Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome