May 1, 2024
Updated May 11, 2025
20 minute read
Data modeling is the process of creating a visual representation, or blueprint, of an information system or parts of it. This blueprint, known as a data model, helps to illustrate the types of data used and stored within a system, the relationships among these data types, how the data can be grouped and organized, and its formats and attributes. Think of it as an architect's plan for a building; it provides a structured way to understand and design how information is handled. Data models are essential for defining business requirements for a database and are often a critical early step in software development and analytics.
ilir38|
Find a path to becoming a Data Models. Learn more at:
OpenCourser.com/topic/ilir38/data
Reading list
We've selected three books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Models.
Provides a comprehensive overview of machine learning for data science. It valuable resource for those who want to learn how to create data models that can be used to make predictions and decisions.
Provides a comprehensive overview of deep learning for natural language processing. It valuable resource for those who want to learn how to create data models that can be used to understand and generate text.
Provides a practical guide to data governance. It valuable resource for those who want to learn how to create data models that are both compliant and effective.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/ilir38/data