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When doing the exercise “Valve mileage use case” of the Domain Expert training in CDF, this error appears (in Portuguese):It says:Competências necessáriasEntre em contato com seu administrador do CDF para solicitar as seguintes competências: timeSeriesAcl:WRITEIn English:Required SkillsContact your CDF administrator to request the following skills: timeSeriesAcl:WRITE Basically, someone should give me the timeSeriesAcl:WRITE permission. But who?   

Hello everyone,I observe a difference in behavior that I cannot explain.My input data, few datapoints, and before the value is 0, timeseries.is_step = TrueInput datapointsWith client.time_series.data.retrieve, behavior is as expected :And with every granularity results are okay as expected.Nevertheless, with client.time_series.data.synthetic.query it’s… different.that’s okthat’s okNot ok, why the result is not 2 groups : from 46 to 49 then 49 to 52 ? another wrong exampleWhy the start timestamp is 48 and not at 46 ? Again, the timeseries endoint is good : I have lost hope.If anyone has anything to try or an explanation, i’ll be grateful.Thanks in advance,Pierre 

Hi Everyone,We're currently managing multiple CDF Toolkit solutions in a mono-repo and evaluating whether to maintain this approach or migrate to a multi-repo structure. We'd love to learn from teams who've navigated through this decision.Current Setup (Mono-repo):1. Single repository housing multiple solutions with shared infrastructure. 2. Shared auth-governance across all solutions.3. Teams need independence but also need to prevent cross-team overwrites.We're Looking For: 1. Real-world examples: How did you decide between mono/multi-repo? What factors mattered most?2. Tooling patterns: How do you handle shared resources (auth governance) in multi-repo? How do you manage CDF Toolkit versioning across repos?3. At how many solutions/teams did you reach the limit of mono-repo and decide to switch to multi-repo?4. How do teams with multi-repos handle toolkit version synchronization? Do you enforce a minimum/maximum version across repos?5. Documentation (runbooks or migration guidelines)

Are there any extractors or connectors to seamlessly integrate Cognite CDF and Aspentech Mtell?If not, have you discussed approaches for that integration, and whether one of them should involve using Aspentech DataSource Interfaces to connect via Aspentech ODBC Datasource, Kafka Datasource, or MQTT Datasource?Please also share any other approaches you may have discussed for seamlessly integrating CDF and Aspentech Mtell.

Lineage doesn’t work. You click on it and it shows for 1 second, before you get this screen. Multiple people gets the same error. 

I’m currently working through the Data Engineer – Data Modeling learning course, specifically the hands-on section where we use the Cognite Toolkit to deploy and extend the provided cognite_dm_skilling repo repository.The course instructions state that, before starting, learners should have: VS Code set up CDF Toolkit installed The cognite_dm_skilling repo cloned Read and write access to a CDF project My question is: does Cognite provide a dedicated training or sandbox CDF project with read/write access for this course, or is access expected to be arranged separately (for example via an internal org project)?I can complete the local build steps with the Toolkit, but deploying and validating the model changes appears to require an actual CDF project with write access.Any guidance on the intended setup for learners here would be much appreciated.

I am working through Cognite Data Fusion Fundamentals: Part 2 – Hands-on, specifically the step to upload assets.csv to the staging area.When I select Upload CSV or JSON, choose the assets.csv file, and select “I don’t know the primary key”, I never get the Create button. The upload flow does not proceed after selecting the file.What I have tried so far: Deleting and recreating the RAW database Manually creating a blank table, then attempting to upload the CSV into it Repeating the process multiple times following the training steps exactly In all cases, the behavior is the same and the Create option never appears.Has anyone run into this issue during the training, or is there a known workaround or permission requirement I might be missing?

I’m using the CogniteSDK. I have seen the following behavior several times: assets = client.assets.list()the variable assets can contain deleted assets if they have been recetly deleted. If I find the external_ids of these assets, the client.assets.retrieve_multiple(external_ids=deleted_xids) correcly do not return the assets. The assets cannot be found in fusion either. I suspect that client.assets.list() is using cached values. This also applies with arguments, f.ex LabelFilter. I have seen the issue many times, but now it really got painfull, so therefore I’m writing here. It returns assets that were deleted several days ago.  What to do? 

There are some signals that in the names or the description have the words: alarm, warning, or fault. E.G. There is this alarm signal, (in red ) that I’m comparing with one of the vibration signals.  And the alarm seems to be on when the vibrations are close to 0 and the Compressor is off. I’m plotting the label as a combination of the name and the description, but the externalId of the alarm is: pi:160268In most cases that alarm is on when the compressor is off, except in this case, Where I do not see any problem with the vibration signal: There are these other two alarms, from the plots: one is on when the compressor is off and the other one when it is starting up. But I do not see any strange behavior in the signal when they occur. Besides the alarms, I’ve also looked into some of the fault signals but those seem to be on for very long times: Is there another way to use the alarm and fault signals to label anomalies or failures? I don’t know if using the vibration signals is the bes

Hi, I have defined a Data Model with a Source View having a DirectRelation to a Target View as a simplified version below, which Pygen created an SDK successfully.  But when I added a ReverseDirectRelationApply to the Target View, Pygen returned the captioned error.  Please help.source_container = ContainerApply(       space =”myspace”,       external_id=”sourceContainer”,       properties={            “sourceName”: ContainerProperty(type=Text, name=”sourceName”),            “target”: ContainerProperty(type=DirectRelation(is_list=False, container=ContainerId(space=”myspace”, external_id=”targetcontainer”) } target_container = ContainerApply(       space =”myspace”,       external_id=”targetContainer”,       properties={            “targetName”: ContainerProperty(type=Text, name=”targetName”)} source_view = ViewApply(     space = “myspace”,     external_id = “souceView”,     version = “1.0”,     properties = {           “sourceName”: MappedPropertyApply(container=ContainerId(“myspace”,

Is there a way to annotate 3D models towards instances from a data model. In the API documentation I only see linking to assets as an option.  

I have exhausted my 3 attempts of “Working with Cognite InField - Assessment”. Possible to help me with additional attempts or any other process to follow here?

Hi Team,Could you please provide 3 more attempts to clear working with Cognite Infield Assessment.

Is there a plan to support enumeration (or any way to restrict value of string properties) in the future?Enumerations are described here: https://graphql.org/learn/schema/, but seems like its currently not supported: 

Hi Everyone,Previously, I was able to bring my Cognite chart into Canvas, and it displayed correctly without showing the calculation area at the bottom. However, starting today, I can still add the chart to Canvas, but nothing appears—it’s completely blank. We tested this across multiple profiles, and the issue occurs for all of them. Is anyone else experiencing this problem? Could the Cognite team help us resolve it?Thanks in advance!

Hello, In order to successfully engage with a potential industrial customer, we would like to showcase the New Diagram Parsing feature during a pre-sales meeting in December. However, we can’t utilize it without the Location Filter feature. Could you please help us to get access to the Manage Location Filter feature in the Admin workspace?  Project Name= tridcognite-sanbox Cluster=aw-was-gp-001 Thanks,Dinesh 

 I am facing issue of jupyter notebook getting crashed frequently. Sharing the image for reference.

In the process of initializing a new CDF tenant for one of our customers I am getting the following error when adding Assets Read/Write capabilities: 1 invalid capabilitie(s) are present: {"assetsAcl":{"actions":["READ","WRITE"],"scope":{"all":{}}}} (invalid capability - write access to the legacy Assets API is restricted) | code: 400 | Are core assets now restricted?

I am facing issue of jupyter notebook getting crashed frequently. It is observed for larger data and surprisingly ML model training on smallest data chunks as well.Sharing the image for reference.  

I am going through the Cognite Python SDK module for Data Science and i’m trying to test the list functions. I am using Jupyter notebook through Anaconda and i have already installed cognite-sdk using pip, however I’m getting an error for ‘from cognite_auth import interactive_client’ saying cognite_auth not found. Can you please tell me if there is some addtional package I need to install for cognite_auth?

Can’t deselect tag when only 1 tag is selected. Pressing “Clear” will reset all filters and take me out of the menu.  Markus PettersenAker BP - Data Platform Architect

Hello I’ve been doing the postman module from the bootcamp catalog. While working on it, I am following through the video posted on “Set up postman using OpenID connect” and followed the steps one by one. Then I get this: Can someone tell me what I did wrong? Is it not supposed to be ‘doc’ and should be ‘docs’??I am not really sure what’s going on.

I'd like to inquire about the current status of the monitoring functionality in the workflow orchestration. Specifically, I'm interested in the setup for notification emails. It would be helpful to know if we are able to receive notifications in the event of a workflow failure. Could you please provide an update on this?

The MQTT hosted extractor is erroring out and showing the following message: Internal database error: Session has expired: Session was not foundI’ve tried pausing and resuming the extractor, and modifying the configured sink, without success.

Hi, I’m using the hosted REST extractor to populate a data model from an MES system. One of the API calls I need to make uses a URL parameter “id” to get data for production jobs by their id like: GET /scheduling/v1/jobs/{id}/operations . The production jobs are already in my data model and each has a unique id value.Is there a way to query the job ids from my data model within the hosted REST extractor so I can make a separate REST call for each job id? I was thinking the pagination feature would be the best approach, but I’m not sure how to query my data model from there to get a list of job ids to iterate through.Any insight is appreciated. Thanks!