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NEAT - Loading Core Data Model – Docs vs. Current Practice

  • March 25, 2025
  • 3 replies
  • 75 views

Andre Alves
MVP
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Hi there,

I know there’s a lot happening in NEAT right now, and we're doing our best to keep up with the changes and learn from all the improvements. That said, I have a question regarding the documentation.

The docs refer to core_data_model, which doesn’t seem to exist. Should we be using the example to load the core data model instead?

For example, the documentation shows:

neat.read.cdf.core_data_model(
["CogniteAsset", "CogniteEquipment", "CogniteTimeSeries", "CogniteActivity", "CogniteDescribable"]
)
But in our case, we’re currently using:
#extend the core data model through examples
neat.read.examples.core_data_model()
neat.subset.data_model(["CogniteAsset", "CogniteEquipment", "CogniteTimeSeries", "CogniteActivity"])

 

Best answer by Nikola Vasiljevic

@Andre Alves my strong suggestion is to wait until we formally release version 1.0 

We did a lot of workshops lately, and we are integrating learnings and reducing pain points.

3 replies

Andre Alves
MVP
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  • Author
  • MVP
  • March 25, 2025

Please disregard this—after updating to release 0.117.10, you can follow the new method shown in the documentation.


Nikola  Vasiljevic
Practitioner

@Andre Alves my strong suggestion is to wait until we formally release version 1.0 

We did a lot of workshops lately, and we are integrating learnings and reducing pain points.


Andre Alves
MVP
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  • Author
  • MVP
  • March 26, 2025

Thanks, @Nikola Vasiljevic!

We've been creating some demos for our sales team and have really enjoyed using the tool. We’re totally fine with facing a few issues and working with a beta version — it actually helps us get more familiar with the product and learn from the ongoing improvements.

Thanks again!