Product User Community

Hello Community,Has anyone used a UI connector to get multidimensional charts in a scatter graph form, to show distribution of data. ThanksMark

Hi Team,We are currently exploring migration of our existing content to use Flexible Data Modeling in CDF, and we are facing some challenges while configuring the OPC UA Extractor.At the moment, we are still pointing the extractor to the traditional Asset-Centric Time Series (dataset-based approach) and then transforming the data into our Data Model types afterward. However, we would like to ingest data directly into a view that implements the CogniteTimeSeries type.We would appreciate your guidance on the following: Do you have any example .yml configuration for the OPC UA Extractor that ingests data directly into a view implementing CogniteTimeSeries? Are there any best practices or recommended approaches for this setup? Is the following documentation the correct reference for this use case?https://docs.cognite.com/cdf/integration/guides/extraction/configuration/opcua#data-models Additionally, we are also evaluating OPC Events ingestion: Should OPC Events be modeled using Cognite

hi, I am taking up the course for data modelling and facing some issues for transformation.Have created an asset named Dutta2026 and while running transformation I receive the error below. Can somebody help me troubleshoot it please? I think it is some kind of access block. [ASSETS] Request with id a8ff7523-7c66-9300-82e5-37961456d56d to https://api.cognitedata.com/api/v1/projects/cdf-fundamentals/assets failed with status 403: Resource not found. This may also be due to insufficient access rights.

We are getting data from PLCs onto Kepware, then using the OPC UA Extractor to send that data to FTDM. Once the data is in FTDM, I have another application that consumes data from it. The issue is that we are getting an array of boolean values in Kepware. If we extract the array values, the number of tags becomes too high. Therefore, we are looking for ways to transform or encode the array into a singular timeseries. Our initial idea was to convert the array into a string, then converting it back to an array in our application. Another idea is to encode the array into a single large integer. But I can’t see any avenue of doing either of these in the extractor. Any ideas on how to do so?

When opening the “Ask Assistant” the navigation bar disappears, this seems like a bug. I for one would like to have both at the same time. 

We have an issue in our production system that influence many users. We have a app using JavaScript SDK where requests to the Group API times out.  Can you please trace one of the request timing out: 492e1fee-234e-95eb-b371-8a11870708e8 

I have 4 views that implement CogniteAsset. When clicking on an instance and heading over to the properties tab, there are four properties there:Asset class Name Asset class Description Asset class External Id Asset class SpaceThese are visible for 3 of the 4 views. Looking at the propertyLayout, I did not see any reference to an asset class in a view where they are visible, and neither in a view where they are hidden. I’ve tried adding the following to the PropertyLayout section of views where they are visible in the UI:- property: assetClass  hidden: true But it did not help. What is the factor that determine whether these are visible or not? 

Access a table (likely RAW table / staging table) in Cognite Data Fusion (CDF) Call it from ThingWorx using REST APIs Possibly map the data into ThingWorx propertiesIn CDF, I have a staging table. How can I access this table’s properties in ThingWorx using a REST API.How to create Authorization Bearer CDF_ACCESS_TOKE.!--scriptorstartfragment-->Rest API URL: https://api.cognitedata.com/api/v1/projects/ptec-04/raw/dbs/RK-FTDM-DB/tables/RK-FTDM/rows/listhttps://ptec-04-datamosaix.fusion.cognite.com/ptec-04/raw?cluster=westeurope-1.cognitedata.com&workspace=data-fusion 

Zendesk not working on MFA can you reset. The popup or the code doesn’t work in my MS auth app

MQTT broker - Cognite DocsHi,I would like to understand how to use the MQTT broker hosted in Cognite. Could you please share any documentation, guidelines, or best practices on how to connect to it, publish/subscribe to topics, and integrate it within a data ingestion workflow?Any examples or recommended configurations would also be very helpful.Thanks in advance for your support.Best regards, Gerome

When creating transformation, the fields in the instructions are different than the module. Are these instructions outdated?

I come from a data analysis background, specifically working on anomaly detection in power plant equipment operations. I find Cognite to be a great learning platform.I would like to suggest whether it is possible to have a sandbox environment where we can practice using data and apply our own logic. Recently, I received communication from Cognite encouraging users to implement their own anomaly detection ideas, which is a great opportunity to learn and contribute.Having access to a sandbox setup with relevant data would allow us to build and test data models for anomaly detection. This would be beneficial for both learning and practical application, especially since the platform is closely aligned with real plant operations.

Maybe this will be solved with the release of Adaptive Experiences, but for now the overview of the published apps is a bit cumbersome to navigate. Here is an example of an app, “Data Quality Dashboard”, that shows up twice, this is the same app but with different versions. The only way to tell from here is the updated timestamp. Would be nice with some kind of indicator showing which is the current version of the app, and maybe some kind of grouping that indicates that it is in fact the same app and not just two apps that happen to have the same name. The apps have a label that shows whether it is a “Flows app” or a “Streamlit app”, but these labels are not searchable, nor is there any functionality that allows for filtering. Would be nice if it was possible to add labels/tags to apps that were searchable allowing us to filter and group apps together. When we have 50+ apps it can be somewhat difficult to navigate.Markus PettersenAker BP - Data Platform Architecht

The documentation link takes me to a 404 page: 

The color in the status bar doesn’t match the legend: 

I am currently facing an issue where the dataset data type is set as string = true, whereas it should be false (numeric). As a result, the chart is not displaying any data due to the field being treated as a string.However, when I download the dataset as a CSV file, the data is present. Could you advise if there is a quick fix on your side to convert the data type from string to numeric?  

How to get Early adopted for document parsing, i got 3 environments in the request - https: //cognite. zendesk. com/hc/requests/18058. please can someone make it available for us in those 3 environments ?xom-upstream-devxom-upstream-testxom-upstream

May our 3 projects have access to Document Parser as an Ealier adopter ?i have opened this request -  https: //cognite. zendesk. com/hc/requests/18058

what are the typical use cases that Cognite AI can solve Integrated Supply Chain challenges?

I uploaded a PDF maintenance manual into Cognite CDF using:client.files.upload(...)The document is successfully indexed by the Documents Engine.I can confirm that:- client.documents.retrieve_content() works- client.documents.search() returns the document- last_indexed_time is populated- truncated_content contains extracted textExample document metadata:{  "id": 3652062792350259,  "external_id": "HACTL_CSS_Manual",  "name": "HACTL_CSS_Manual",  "title": "Hactl.md",  "mime_type": "application/pdf",  "last_indexed_time": "2026-05-06 14:57:28.531+00:00"}However, Atlas AI still responds with:“I could not find any uploaded maintenance manuals related to wheel carriage troubleshooting in the system.”Questions:1. Does Atlas AI automatically use Documents Search semantic indexing from files uploaded with client.files.upload(), or does it require CogniteFile instances + upload_content()?2. Is Atlas AI document retrieval based on:   - Documents semantic search   - passages/search   - or instanceI

How does asset hierarchy work in CDF?

For metadata on assets (and other object types) in the app UI, the text is capped even though there is a lot of white space. Inconvenient when viewing it on a big screen and expecting to be able to see the whole string.    

Hi, I am struggling trying to find my the description field is empty "-" for my assets (in Data Management > Data explorer > Assets. Looking for the problem I verified the followingsuccessfully imported data into RAW (seen under Data Management > Integrate > Staging)     successfully ran transformations on the RAW table and populated CogniteAssets (seen under Data Management > Data models > Data Management > CogniteAsset)    Any advice would be helpful? 

I follow the Docments for binding files in CDF(client.files.upload_content)After uploading, AtlasAI is indeed able to use the content.However, this file seems to be a chunked TXT document generated from the customer document. I believe this TXT file should follow a certain structure, but I could not find any documentation describing the expected text content structure in the help docs.Is this an industry-standard format, or is the file_content structure arbitrary?It seems that the completeness and quality of the chunk file directly determine the upper limit of AtlasAI’s intelligence and response quality. 

Hello everyone ! Since this morning (3AM Paris time ) we encounter serious problem with our MQTT hosted extractor. Setup- CDF region: West Europe 1- 1 Source (Azure Event Grid MQTT broker, port 8883, TLS cert auth) controlled externally- 1 Destination (single sink, single CDF session)- 2 Jobs (topic filters), both using the same source and same destination:  - xxxx/OUT/xxxxxxx/AA/#  - xxxx/OUT/xxxxxxx/BB/# ProblemSince this morning (~03:00 UTC+1), both topic filters are stuck in connection_error with the following error looping in the event log:Could not establish connection: Mqtt state: Server sent disconnect with reason 'None' and code 'SessionTakenOver'Both jobs were running fine until today. No configuration changes were made on our side. What we tried1. Paused one job to isolate — the other still fails alone2. Paused both, waited 10 minutes, resumed — connects briefly then gets kicked again3. Deleted 10 legacy/unused sinks and 1 old paused job (cleanup) — no change4. Checked Azure