I have exactly the same issue that in Cognite Hub, somebody solved it and said: “I’ve revoked your MFA so you will have to re-register it for our Hub tenant” could you please helping me revoking the MFA and please explaining me how to re-register? thanks.
The comment feature in Canvas is really great and we are planning to use it for our shift handovers. We plan to add multiple comments but having to click the comment icon every time to read the content is quite tedious. Since we want the comments to be immediately visible as soon as we open Canvas, we would love to have a feature, like ”pin” comment content.
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The proposal is to get in the Search overview, the location of the contextualized tag in the 3D CAD structure. Such feature will help the user from where the 3D CAD contextualization is coming from in teh 3D CAD structure.Rigth now we do not have this feature, and this should allow us to potentially correct, add, remove some pieces of the 3D CAD structure contextualizationSee the attached illustration...
I created an App with Cognite-sdk and pandas packages. It is working fine on my system, but when i am trying to access it using a VM i am getting this error - Error during booting up Traceback (most recent call last): File "/lib/python3.12/site-packages/micropip/_commands/install.py", line 146, in install raise ValueError(ValueError: Can't find a pure Python 3 wheel for: 'cognite-sdk==7.80.3', 'tenacity<10,>=8.1.0', 'blinker<2,>=1.0.0'See: https://pyodide.org/en/stable/usage/faq.html#why-can-t-micropip-find-a-pure-python-wheel-for-a-pack…Frequently Asked Questions — Version 314.0.2 I already added cognite-sdk==7.80.3 and pandas in the requirements.txt.
Hi everyone, and welcome to Cognite Hub!This is our central space for builders, users, and industrial data experts to connect, collaborate, and learn. Whether you're here to solve a specific problem, share your expertise, or see what's new with Cognite, you're in the right place. 🚀 Your First 3 Steps We've designed this community for you. Here’s the best way to get started (it only takes 5 minutes!): Complete Your Profile: Add a picture and a short bio. It helps us get to know you and makes people more likely to connect! Follow a Community: At a minimum, join the Developer Community or Product User Community to stay in the loop. Introduce Yourself! This is the most important step. Click here to say "hello" in our Introductions thread. Tell us who you are, what you're working on, and what you hope to learn. 🎓 Learn & Grow Take Courses: Access free e-learning and learning paths in the Cognite Academy. CDF Fundamentals with Data Modeling is a great starting point if you are n
I have joined the Group to learn. Have 3 Decades of Hands On Experience in the Domain of Oil and Gas. Recently a desire to learn new Technologies am working with Cognite Data Fusion. Heard a Lot about Public Data for BP North Sea. Will se how can I learn the new skills and attempt to implement for betterment of the Oil and Gas People community. Can I get some tips to focus on any specific areas ?
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When dropping a file from your desktop/drives into Canvas, the file size increases. As one example, it went up 30 times; from 84kb --> 2520kb (without the canvas coverpage). The file size change makes it difficult to download the canvas, as it gets stuck. The end users cannot download the canvas they create and therefore are prone to stop using the platform.
Hi Team,It was observed that List and Search queries have some functional limitations which are handled explicitly by teams. Below are the expectations: Search queries must support pagination, enabling users to retrieve results beyond the current 1000-record limit. Pagination should include a cursor or offset mechanism, allowing seamless navigation through large datasets without data loss or duplication. List queries must support case-insensitive filtering Users need substring search over large datasets, which is not fully supported. Can we provide feature like "Contains" which will allow substring search.Thanks,Rahul
What an amazing quarter! As we’ve wrapped up Q2 2026, let’s take a moment to recognize the incredible people who drive the Cognite Hub forward - our outstanding community members. We’d like to shine a spotlight on our Top 3 Contributors for the past quarter. These individuals have gone the extra mile to help their peers, share knowledge, and spark innovation across the Hub:🥇 @Shun Takase – NIPPON SHOKUBAI🥈 @Kubota Mami – Cosmo Oil Co., Ltd.🥉 @Gunnar Andreas – Aker BP ASAThanks for always being so willing to jump in, share your expertise, and help out. Looking forward to more great discussions. 👇 Drop a comment below to help us congratulate our Q2 Community Leaders!
Hi Everyone,I have a question regarding how Cognite Data Fusion is typically used in a real industrial batch manufacturing environment.Consider a batch production process in an FMCG or chemical plant where process parameters such as reactor temperature, pressure, agitator speed, flow rate, or pH begin to deviate from their normal operating ranges, indicating a potential degradation in final batch quality.I would like to understand the typical Cognite workflow in this scenario.How does Cognite detect or identify the potential quality degradation? Is it through rules, analytics, ML models, or contextualized data? Can Cognite automatically trigger workflows, create events, or send notifications to the relevant production or process engineers? Is the next recommended action generally reviewed and approved by an operator/engineer before execution, or are there real-world implementations where Cognite integrates with control systems to initiate corrective actions automatically? How are Atlas
Problem Statement: Currently, there is no great way to print comments in industrial canvas (If there is not aware of a good way). Potential Solution Option(s):Anchored to DocumentComment Selection box in the download list (similar to multiple pages) that would allow comments to be turned on that would be anchored to the document based where the user placed it. Comment Pane on right side that shows comments for that page. (Similar to microsoft suite review pane)Separate Comment PageComment Page independent similar to the cover page that could be checked or un-checked that would display on a separate page that would be part of the download. Downside is the comments may not make sense if there are not associated with the drawing.
Cognite Data Fusion (CDF) appears to enforce a limit of approximately 200 Azure AD group memberships when resolving permissions for Service Principals. This limitation does not exist in Microsoft Graph, which supports retrieval of all group memberships associated with a user or Service Principal.As organizations scale their authorization models using Azure AD groups, this restriction can prevent access inheritance from functioning as expected and requires manual workarounds that increase operational overhead and governance complexity.Business ContextMany enterprise deployments use Azure AD groups to manage access to assets, plants, data products, and other resources within CDF.A common architecture relies on: Azure AD groups representing access domains. Group Object IDs mapped to corresponding Source IDs in CDF. Service Principals inheriting permissions through group membership. However, when the number of group memberships exceeds the current supported threshold, some memberships
The layers on a PDF are not currently clickable within CDF. I have an example of a file that was loaded as a PDF with certain layers turned off. When we put this PDF in a canvas and then downloaded the canvas, all the layers were turned on, making it difficult to read. It appears Cognite turned on all internal PDF layers when creating the download.Ask: A - Let’s leave the layer state as is when downloading from a CanvasB - Don't embed the layers and leave them exposed in the resulting PDFC - Have layers viewable in Search PreviewD - (Future) Expose the internal layers in Canvas/preview
CDF Project Health Dashboard Authors: @Maciej Marciniak, @Kasun Amarasinghe Overview Module Components Deployment Getting Started (Step-by-Step Guide) Configuration Troubleshooting Support Overview The CDF Project Health Dashboard module provides a solution for measuring, monitoring, and visualizing the health of CDF resources (extraction pipelines, workflows, transformations, and functions) scoped by dataset. It consists of two main components:Project Health Metrics Function (external_id: project_health_handler) - Computes health metrics for a given dataset and time range and saves them as a JSON file in CDF Streamlit Dashboard (project_health_dashboard) - Loads the pre-computed metrics file and displays health gauges, status donuts, resource tables, and recent errors across tabsThis module helps data engineers and operations teams understand how well their CDF project resources are performing over time across four resource types:Extraction Pipelines - Run status, success/failure r
SummaryWhen building workflows in Cognite Data Fusion to populate views in Data Models, there is often a need for intermediate, curated datasets between raw source data and the final target data model.Today, this intermediate data can be stored in RAW tables, but that requires customers to manage temporary tables, cleanup logic, naming conventions, and lifecycle handling manually. A native, workflow-managed temporary storage layer would make workflow development cleaner, reduce repetitive transformation logic, and simplify the overall implementation. Business ContextWe are using CDF workflows to populate an Asset Hierarchy data model.The source data comes from multiple systems:SAP Functional locations Equipment AVEVA PI Tag metadata The target asset hierarchy data model contains the following views:Site Area Line Equipment System Subsystem TagThe source metadata arrives without the required treatment, standardization, or contextualization. Before writing to the final data model, the
Hi everyone, I have a question regarding operational workflows in Cognite Data Fusion.Suppose CDF detects a potential quality degradation in a batch process based on process parameters (e.g., temperature, pressure, flow, etc.). What is the typical approach in real industrial deployments?i)Does CDF automatically trigger the next course of action (for example, adjusting process parameters through an integrated control system)?ii)Or does it first generate an alert/notification or workflow for the relevant engineer/operator, who reviews the recommendation and approves the action before anything is executed?I'm trying to understand how Cognite is typically used in production environments, especially the balance between AI-driven recommendations, human-in-the-loop decision making, and automation. Any insights or real-world examples would be greatly appreciated.
If you have tests that assume the a specific result ordering in instance list or query results without specifying a sort order when querying for recently upserted nodes, you may in the future see that APIs can return results in a different order than they were upserted, and possibly see your tests fail.The change in ordering happens when we insert data in the DM graph, and is required to make sure we correctly serialise operations and avoid deadlocks when processing upsert operations. The previous implementation is prone to rare race conditions that, while not having been a frequent problem before, may become a problem now as we work to optimize DM API performance and add support for more sophisticated access control in instance upsert operations.While this change is observable if your test hard codes an assumption that items are returned in the same order that they were inserted, this behavior was never specified, let alone guaranteed. The API behavior remains in line with previously
Hi everyone!My name is Natasha Bueno, and I am a Team Leader based in Brazil. I recently stepped into a role focusing on projects that drive manufacturing efficiency and digital transformation.My primary goal right now is to leverage Cognite Data Fusion (CDF) to break down operational silos, access real-time industrial data, and transform those complex data points into actionable insights and strategic opportunities.I’m taking the Cognite Data Fusion for Domain Experts course to sharpen my technical grasp on how to best navigate open industrial data and address core operational challenges.My Learning Goals: Master the fundamentals of contextualizing industrial data within CDF. Learn best practices from the community on bridging the gap between data science and project leadership. Discover how other domain experts are successfully accelerating time-to-insight in manufacturing setups. Looking forward to connecting, sharing experiences, and learning alongside all of you!Best regards,
Hello everyone, I started my CDF learning journey here.I’m a Data Engineer.Feel free to add me at LinkedIn: https://www.linkedin.com/in/masaki-takeuchi-0046a4196/Greetings from Japan.
Hi there, We would like to be able to annotate instances that do not extend CogniteAsset, nor CogniteFile and visualize that in “Preview” in Search UI. Our context is purely data modeling.So we would like to have a view, that extends CogniteDescriable and to be able to annotate it towards a CogniteFile.Currently we are achieving partically that, by having an edge, (pseudo code below) ANNOTATION_TYPE = "diagrams.InstanceLink" type_node = NodeApply(space=REFERENCE_SPACE, external_id=ANNOTATION_TYPE)edge = EdgeApply( space=EDGE_INSTANCE_SPACE, external_id="annotation_<file_ext_id>__<entity_ext_id>", type=DirectRelationReference(space=REFERENCE_SPACE, external_id=ANNOTATION_TYPE), start_node=DirectRelationReference(space=FILE_SPACE, external_id=FILE_EXTERNAL_ID), end_node=DirectRelationReference(space=ENTITY_SPACE, external_id=ENTITY_EXTERNAL_ID), sources=[ NodeOrEdgeData( source=ViewId("cdf_cdm", "CogniteDiagramAnnotation", "v1"),
As I solution architect I would like to arrange persistently all my categories in my landing “Search page”, in a multilevel (tree) format, with minimal 2 levels, so the “Search page” is not convoluted/big and users still have access to all their categories with minimal clicks. As of today, I see that the only categories that allow multiple levels are the ones that were “inherited” from the old resource types, such as asset, files, time series, activity. Everything else added in the data model will be available view bullets.For PBF we have several data models within the same project, what causes the search page to be very extensive and not user friendly. As a workaround, we created a solution data model and configured a new location to expose a simplified “search page”, but for that we are omitting several of the categories that users would like to see. So if the user wants to access data that is not in this simplified view he/she needs to select the “full” location that has all the dat
Say I have a some modules containing issues. If I run cdf build on them, and the output is a message saying “Do not proceed to deploy” I would expect the resulting status code to be non-zero, so you can detect failures in deployment scripts.Real example of the build unexpectedly returning a successful status-code:I run this command: uv run cdf build -m modules/module1 -m modules/module2 -m modules/module3 && echo "This only prints if the previous command returns a Success status code" This is a problem because CI/CD pipelines won’t catch that there are issues with the modules.
Dear Team,I’m unable to reassign the assessment “Cognite Data Fusion Fundamentals Assessment (DM) “ refer below snap.
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