Developer Community

How should data write-back be implemented in an application developed using Cognite Flows? Specifically, where should application-generated files and structured data be persisted, which CDF services should be used for different data types, and how should the write-back layer integrate with the broader CDF architecture?

Hello, Is timeSeriesAcl:read acl required for data point subscription consumption? Although the client has timeSeriesSubscriptionsAcl:read. We recieve: CogniteAPIError: Missing capability to read Time series | code: 403. When calling: ‘client.time_series.subscriptions.iterate_data’.Thanks

Hello Community, I am just trying to understand the zero copy connection to databricks. I understand from the examples at cognite-databricks/README.md at main · cognitedata/cognite-databricks · GitHub, that CDF exposed its data through the Unity Catalog, help register its views (including Core CDM etc) and query them from databricks notebook. How about the reverse - for example to access data from databricks from outside databricks, does “zero copy” applies. For example, I see one can query the SQL warehouse using service principals and PATs.  Is there a zero copy way, that I am missing?  ThanksAlex 

Hello Cognite CommunityI'm exploring Cognite Atlas AI and would like to get some hands-on experience with its capabilities.Are there any publicly accessible demo projects, sample datasets, or sandbox environments available for developers to experiment with Atlas AI and Cognite Data Fusion?I'm particularly interested in exploring how AI agents interact with industrial data, asset information, and time series.If there are any public projects or learning environments available, could you please share how to access them?Thanks in advance for your help!

Hello everyone,I have completed the Cognite Flows Fundamentals course and would like to know the next steps toward obtaining the Cognite Flows Builder Certification. Could someone please guide me on where I can register for the hands-on workshop?I found the virtual workshop consisting of three live sessions, but the session content does not appear to be loading properly. I can only see the session titles, with no additional details, links, or learning materials.I would appreciate any guidance on how to proceed with the certification and access the workshop materials.

Hello Cognite Community,I'm exploring a web-based industrial visualization project focused on the Valhall facility, using React Three Fiber and Three.js to build an interactive 3D experience.I'm looking into the available 3D asset formats and the best approach for integrating industrial facility models into a browser-based rendering pipeline.For those who have worked with Valhall or similar industrial 3D assets: Which model formats or export workflows are suitable for integrating these assets with Three.js? Are there any publicly accessible Valhall model datasets or approved demonstration assets available for development and testing? If the source model is provided in CLV or another specialized format, what is the recommended workflow for making it compatible with a web-based 3D viewer? I'd appreciate any technical documentation or recommendations regarding the model pipeline.Thanks in advance!

Hello Cognite Community,I'm currently studying Cognite Data Fusion and have completed the Cognite Flows Fundamentals Assessment.My goal is to earn the official Cognite Flows Builder Certificate. I've reviewed the Flows Builder Learning Journey and understand that attending a hands-on workshop is one of the required steps.I'm currently learning independently and would like to know how I can register for the workshop.Could someone please clarify the following? Can individual learners or students attend the Cognite Flows hands-on workshop? Are there any upcoming online or virtual workshop sessions? How can I register for an available workshop? Is there any registration fee for individual participants? I'd appreciate any guidance on the next steps toward earning the official Cognite Flows Builder Certificate.Thank you!

Hello everyone,I can currently access Cognite Flows through the Publicdata project. However, I would like to understand the purpose of the Flows Developer Instance and whether it is a separate environment from the Publicdata project.Could someone please clarify what the developer instance is used for, how I can obtain access to it, and what permissions are required to build and test custom applications?

Hello Team, I have created interactive diagram in my project and its working fine, showing all related assets and timeseries associated with each part on diagram. But all this happening on cognite data fusion environment.My query is, how can we bring this diagram to POWER BI dashboard or Cognite Flows App. Is there any way to do this? or its not possible? ThanksRupali  

We’re reviewing how to ingest data from external REST APIs into CDF RAW and would like to hear how other teams choose between the hosted REST extractor and a Cognite Function.My starting point is the hosted REST extractor when the source can be handled with scheduled requests, pagination, incremental load, and mappings. A Function becomes attractive when the integration needs more complex request sequences or Python logic. But then our team also owns the extraction state, retries, recovery, and monitoring.I’m particularly interested in how you make this decision when: The source API requires calls to multiple endpoints or hosts, or data from several responses must be combined before writing a RAW row. A large initial load cannot finish in one Function execution. The source uses a change timestamp or cursor, and a run can fail after writing some rows but before completing the batch. You need to replay a date range without losing later changes. Authentication or network access ma

We’re designing a layered data model in Cognite Data Fusion and would like to hear how other teams handle the boundary between enterprise and solution models.Our current approach is: Enterprise layer: Create domain views that use implements: to extend relevant CDM or IDM views, with enterprise-owned containers for our domain properties. Solution layer: Create application-specific views that map properties directly from enterprise containers, instead of implementing enterprise views. The intent is to let each solution shape its own consumption interface while reusing the underlying data. We’re considering enterprise containers as the longer-lived storage contract and views as versioned interfaces for different consumers. Cognite’s guide to designing scalable data models appears to support direct container mappings for solution views.For teams using this pattern in production: Do your solution views map directly to enterprise containers, implement enterprise views, or use a mix? What d

Hello everyone,  I am in the transformation part in the Cognite Fusion Data Fundamentals Part 2 - Hands-on. I ran a transmation as asked but it doesn´´t appear in the filter

How can we get access to work hands-on with the learning path athttps://cognite-learn.fusion.cognite.com/cdf-fundamentals/data-models?cluster=api.cognitedata.com&workspace=data-management?If not, how can we practice hands-on with Cognite Learn?

Hi Community,Has anyone successfully configured the Cognite DB Extractor to connect to Databricks via ODBC using a service principal?I was able to connect to Databricks using a Personal Access Token (PAT), but I am experiencing issues when trying to authenticate with a service principal.Any guidance or examples would be greatly appreciated.Thanks in advance,Andre

Hello community! The Aura design system team has launched a shared community repo where builders can contribute and pull industrial components, patterns, and app templates instead of building from scratch every time.❓WhyBuilder feedback and app audits turned up the same problems: components either don't exist yet or exist somewhere nobody can find, so people rebuild the same things repeatedly. Aura is also an intentionally a high bar for contribution as changes can have wide-reaching impact. Community gives builders a lower-stakes place to share and refine work without waiting on Aura. It also protects the platform experience - the more apps share real, proven patterns, the less an end-user has to relearn when moving between them.🛠 How it worksCentralized repo with a registry-based install approach means one single source of truth where you can pull a component or app template with one command, customize it for your use case, and run updates on your own terms Usage tracking signals to

Hi team, we're seeing what looks like a backend issue on westeurope-1 during the Cognite bootcamp.Environment- Cluster: westeurope-1- Projects: cdf-bootcamp-50-prod (also observed in cdf-bootcamp-43-prod)- Time: ~14:40 CEST, 1 Sep 2026Symptom- Transformations and hosted extractors report success / Running, but no instances appear in the data model (Flows/Search is empty).- The datapoints Cognite Function fails when querying the data model:  client.data_modeling.instances.list(...) ->  CogniteAPIError: Request had 1 constraint violations ... [value must not be null] | code: 400 | cluster: westeurope-1 | project: cdf-bootcamp-50-prod  X-Request-ID: 98821131-2f58-9cb9-84bf-b1f9368e4655What we've ruled out- Same code/config works in -test.- Toolkit deploy is green; auth verified; extractors and transformations run without errors.- Instructor indicated westeurope-1 may be having issues.Question- Is there a known incident on westeurope-1 affecting data-model instance writes/reads right no

Hi Cognite Community,we currently have a Streamlit Custom App hosted directly in Cognite Data Fusion that we would like to provide to end users for an upcoming testing phase.Our plan is to let the users test the current Streamlit version first, while in parallel we are working on migrating/rebuilding the application as a Flows app.However, this migration will still take some time, while the users are expected to start testing the Streamlit application in approximately two weeks.For the testing phase, we would therefore like to provide users with a direct link to the Streamlit application, but ideally without showing the surrounding CDF navigation/sidebar (Home, Search, Canvas, Charts, Custom Apps, etc.).The goal would be something similar to a standalone/full-screen application experience while still keeping the current Streamlit app hosted and authenticated through CDF.Is there currently any supported way for Streamlit Custom Apps to:hide the CDF shell/sidebar, open the application in

I’m trying to deploy a couple of Streamlit apps into Data Fusion.  I’m getting the error “Error during booting up: Program terminated with exit(1)” in the Data Fusion editor portal.I’d swore one app was working yesterday and I was able to publish, but both apps are giving this error in the editor portal.  I can publish, but I get the same error in Flows when trying to run the custom app. I’ve tried researching and it says to look at the logs, but I don’t see a way to view any log details.Any thoughts on how to debug this? 

I have a workflow that runs subwork flows. In the main workflow, each of the subwork flow tasks is set to ‘skipTask’ on failure. The tooltip notes that the task will be marked as COMPLETED_WITH_ERRORS. However when this happens all I can see for status is ‘Completed’ and no email notification is being set out.What I want is for my workflows to continue to run if a specific portion fails, but I still want the email notification to be sent to notify me that there is an issue.

Hello, We need to expose our CDF data to a Microsoft Power Apps.The official documentation only covers Power BI and Excel connectors. I found this older thread from 2022 describing how to build a custom connector: https://hub.cognite.com/other-419/how-to-build-a-connector-for-cdf-in-power-apps-cognite-official-1253Few questions:Is there now a native/official CDF connector for Power Apps, or is a custom connector still the only path? If so, is the approach in that thread still valid for current CDF API versions? Any known limitations (authentication, data volume, API compatibility...) to be aware of?Any guidance or pointers to up-to-date documentation would be appreciated.

Hello!We have encountered some issues with backfilling on the PI Extractor. This usually goes automatically, and works fine. However, we do now have a 2 day gap in data on Cognite, however all that data is present in PI.Are there any way to “force” a backfill, or fix this issue somehow?Thanks!

HiWe've hit a bug in cdf-tk (reproduced on 0.8.147 and 0.8.155) when deploying containers to a brand new space.We have 98 containers in a new space. One container has no constraints, but others reference it via a requires constraint pointing to the same space. cdf-tk sends all containers in a single batch. The CDF API seems to validates requires constraints against what already exists in CDF not against other items in the same batch so it rejects the entire batch with this error:Cannot create requires constraint 'requireMetadata' in container'sp_xxx:ContainerB'.Target container 'sp_xxx:ContainerA' does not exist.cdf-tk should sort containers by their requires dependencies before batching, so dependency free containers like containerA are sent before the containers that depend on them.We'd appreciate a fix in an upcoming release, or any insights regarding this issue.Thanks

Hello,  the default value for autoCreateDirectRelations for node creation is True. Cdf toolkit do not expose this config at transformation level today. This results into uncontrolled ‘empty’ instance creation when direct relationship nodes does not exist.Do you plan to expose this config to cdf toolkit so we can change the default behaviour?ref: https://docs.cognite.com/20230101/instances/create-or-update-nodesedges#body-auto-create-direct-relations Thanks Best,

We have an app deployed in abp-sandbox for “offshore regulatory assistance” (Flows + KG-RAG agent) on the Agent API (`az-ams-sp-002`, `cdf-version: beta`). While developing document export, I've encountered a reproducible failure pattern:Generation calls with complex instructions and/or long input intermittently return HTTP 200 with empty `content.text` — no error signal. The failure threshold shifted within hours on identical configuration: a 28.7K prompt succeeded at 18:15, 25K failed 12/12 an hour later, 15K succeeded at 21:49. Compression/summarization calls of similar size succeeded in the same window where generation calls failed.A report with the full test matrix is attached.Questions for Cognite (prepared with AI assistance):1. Could the endpoint return an explicit error/finish-reason instead of an empty 200?2. Are there documented practical limits for input size × instruction complexity?3. What is the roadmap status for streaming or async chat?4. Does a plain LLM endpoint with

Need help ASAP since this is on a customer’s system Using Core Data Model + Extended Timeseries container/viewUsing Pi Extractor against Rockwell Historiansee attached video for problem description and some configuration