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 nine 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.
This classic text provides a comprehensive overview of data modeling principles and techniques, covering both conceptual and logical modeling. It is an excellent resource for those who want to gain a solid foundation in data modeling.
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 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 big data analytics. It valuable resource for those who want to learn how to create data models that are both flexible and scalable.
This practical guide provides step-by-step instructions for creating data models using industry-standard techniques. It valuable resource for those who want to learn how to apply data modeling to real-world projects.
Provides a practical guide to data modeling using the Unified Modeling Language (UML). It valuable resource for those who want to learn how to use UML to create data models that are both expressive and maintainable.
Provides a business-oriented approach to data modeling. It valuable resource for those who want to learn how to create data models that meet the needs of the business.
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.
Provides a collection of data models that can be used as templates for designing data models for a variety of applications. It valuable resource for those who want to save time and effort in the data modeling process.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/ilir38/data
Save
