-
Welcome
- How to succeed with this course?
-
Prerequisites
-
Why contextualize data?
-
Match entities using the UI
-
Terms to understand
- Introduction to entity matching
-
Overview of entity matching
-
Example of entity matching
-
Check your knowledge
- Why and why not?
-
Why Entity Matching?
-
Limitations
-
Check your knowledge
- Entity matching model
-
Overview of entity matching model
-
Types of entity matching models
- How does the entity matching model work?
-
Overview of the algorithm
-
Feature types
-
Tokenization
-
Check your knowledge
-
Defining and calculating the match scores
-
Check your knowledge
-
Unsupervised and supervised entity matching models
-
Check your knowledge
-
Evaluate the accuracy of your entity matching model
- End of course
-
Key takeaways
-
Share your feedback
-
What's next?
Match Entities: Concept and UI
Learn how to perform entity matching, and how the different entity matching models and feature types work.
In this course, you'll learn how to match entities in CDF, different entity matching models, feature types, and, most importantly, how it functions. Go through the lessons thoroughly, as it will come in handy in the second installment of the course, which will be released soon.
This course is for data engineers looking to up their knowledge and skills in entity matching.
At the end of the course, you’ll be able to:
- Explain how entity matching works.
- Evaluate when it is beneficial to use entity matching and when to choose other tools to contextualize data.
- Contextualize data using entity matching.
- Explain different entity matching models and their mode of operation.
It's recommended to have completed Cognite Data Fusion Fundamentals before taking this course, so you have a basic understanding of the CDF data model and how to do quick matches from the CDF user interface.
This course was developed by Cognite Academy, with subject matter experts:
Torbjørn Opheim | Software Engineer
Peet Cremer | Senior Software Engineer