Hi, I’m Enikö Farkas from Cognite. With my team, we create e-learning for Cognite Academy. In our courses, we put a lot of emphasis on providing hands-on experiences so you can learn to use Cognite Data Fusion through interacting with real industrial data.In most of our courses, the training data we use comes from the Open Industrial Data (OID) project which is the result of a collaboration between Aker BP, one of Europe’s largest independent oil companies, and Cognite. While the data is from the oil and gas industry, its relevance is much broader: it gives us insight into dynamic industrial processes and can inspire all industries.In this article, I’m excited to share more about this project.About the dataThe data originates from a single compressor on Aker BP’s Valhall oil platform in the North Sea. Aker BP selected the first stage compressor on the Valhall because it is a subsystem with clearly defined boundaries, rich in time series and maintenance data.AkerBP uses Cognite Data Fus
Overview Prerequisites Getting Started Testing the Quickstart Package SupportOverview The Quickstart Deployment Pack (DP) is a comprehensive solution designed to bootstrap a Cognite Data Fusion (CDF) project with a robust, production-ready foundation. It provides a curated set of modules that handle everything from infrastructure setup and data modeling to data ingestion, contextualization, and quality reporting.This guide explains how to install, configure, and use the Quickstart DP to accelerate your industrial digital twin development.High Level overview of File Annotation Flow in Quickstart Deployment PackThe Quickstart DP consists of several integrated modules. Below is a detailed guide to each major component.1. CDF Common ModulePurpose: Establishes the foundational infrastructure required by all other modules. It ensures consistency across environments by provisioning shared resources.Key Components: Data Spaces: Provisions dedicated spaces for data instances (demo.Space) and fu
Welcome to the CDF Fundamentals Discussion!This discussion is dedicated to help learners of the Cognite Data Fusion Fundamentals learning path succeed. If you’re struggling with the exercises in this learning path, try the tips & tricks below or post a comment with the challenge you’re facing. You can also post your own tips and respond to fellow learners’ questions. Cognite Academy’s instructors are also here to help.
Ability to import a checklist template from a word or excel file (some sort of required format/template) instead of in UI only. Or pull from CDF or source.
When creating a “Point of Interest” in Scene, after it’s created, you need to click on an area that doesn’t overlap with the point cloud (the dark blue area in the screenshot) to display its details.This means you have to zoom in quite a lot to avoid overlapping with the point cloud, which makes it difficult to check the “Point of Interest” while viewing the entire point cloud.Therefore, it would be helpful if “Point of Interest” could be made easier to click and select, or if Scene could include a mode that allows selecting only “Point of Interest.” This would make the feature much more practical.
Dear Community,I am facing an issue when attempting to pull data from CDF into Excel through OData connector,Main purpose is to have data pulled into excel & get periodically updated (+ historian)As the Data from InField is required to be pushed into a specific Excel format for external reports.However, the main issue is that after adding URL :https:// westeurope-1.cognitedata.com/odata/v1/projects/{myProductionProject}I immediately get the Navigator view ( no prompt to sign in yet) Then once I try to get any data, the login pop-up window is there, but is rejecting all authentication methods:for both current & alternate credentials and this is for all levels of the URL -For Web API Key Value, I wasn’t too sure where to get it fromTo note, I know I have the required access, as I can pull data normally in PowerBI REST API,Please advise, does the organization that has that project need to add anything on azure ENTRAID side to allow this? or is it a different mistake I am making?
Currently, when a Canvas or Chart is created, the creator is automatically assigned as the “Owner.” We would like to request the implementation of a feature that allows ownership to be transferred to another user.BackgroundIn our operations department, Canvas and Charts are used for long-term operational monitoring. However, the primary person in charge changes relatively frequently. Therefore, we need a mechanism that allows ownership to be transferred smoothly to the next responsible person.From a long-term operational perspective, having the original creator remain as the owner even after role changes or internal transfers raises concerns regarding internal security and governance.For these reasons, we would greatly appreciate it if an official ownership transfer function could be implemented.Additionally, @Shun Takase-san from Nippon Shokubai commented that since Canvas and Charts can be searched by the creator’s name, having the current responsible person listed as the creator si
In Charts, it’s possible to freely configure the units for each time series.However, I’m having trouble when trying to merge a manually set unit with the default unit.For example, in the screenshot, the upper time series is a calculated value added using “Create calculation.” I manually set its unit to “°C,” and attempted to merge it with the lower time series using “Merge unit.”But Charts recognizes them as different units, so the merge doesn’t work properly. To work around this, I have to manually reassign the unit “°C” to the lower time series—even though it already has the correct unit. This is quite time-consuming.If I'm doing something wrong, I would really appreciate it if you could point it out.If this behavior is actually by design, I hope it can be improved in the future.
Hello Cognite Support Team, I'm working with the Cognite Data Points API and would like to request a feature enhancement regarding aggregation functions. Current Situation: When querying time series data with a specific granularity (e.g., "1d" for daily), the available aggregates (Sum, Average, Count, Interpolation, StepInterpolation, etc.) don't directly provide the first or last actual data point within each granularity period. Feature Request: Could you add first and last aggregate functions that would:first: Return the earliest data point (by timestamp) within each granularity period last: Return the latest data point (by timestamp) within each granularity period Use Case Example: For a time series with granularity: "1d" and aggregates: ["first"], the API would return the first recorded value for each day (e.g., the value at 00:00 or the earliest available timestamp that day). Similarly, aggregates: ["last"] would return the last recorded value for each day (e.g., the value at 23:
Cognite documentation powers human and agent workflows with new AI functionalityCognite now offers several ways to bring our official CDF product documentation into your AI-powered workflows.A docs MCP server for live documentation access in your IDE. SKILL.md capability files so AI assistants understand what Cognite Data Fusion (CDF) can do. An integrated experience on docs.cognite.com that includes an AI assistant that answers questions and cites sources, plus one-click options to send any page to Cursor, VS Code, ChatGPT, or Claude.To use the MCP server and the SKILL.md file, you'll need a compatible AI-powered IDE or assistant (for example, Cursor, Claude, Windsurf, or VS Code with Copilot). To install the SKILL.md file with the skills CLI, you also need Node.js. Docs MCP server: live documentation in your IDEThe Model Context Protocol (MCP) is an open standard that lets AI assistants securely access external data and tools. Cognite's docs MCP server gives your IDE live access to
Dears,Would you please advise how can we hide specific layers (for ex. the crane) in the 3D model and then to save the updated or customised revision?is the revision editing for 3D models doable inside CDF itself or there is a specific workflow needed for it, as you can see it the snapshot below: Thank you! Fatima
Hi everyone!We know that for an end-user, finding data shouldn't feel like a "needle in a haystack" mission. Last summer, we launched Per-Project Search Configuration, and if you haven't set it up yet, your team might be missing out on a much cleaner experience.As a Project Admin, you can curate what your users see when they sign in to Search. Instead of a generic view of data that maps 1:1 to your detailed data model definition, you can hand-deliver the most relevant data. Why configure your categories? Instant clarity: Define exactly which columns appear first. No more side-scrolling to find the "Status" or "ID." Relevant filtering: Hide the noise. Display only the filters that actually matter for that specific category. Context at a glance: Tailor the "Properties" card so the most crucial metadata is front and center. Quick guide: Check access: Ensure you have appconfig:read/write and app-scope = Search. Your users also need appconfig:read to make the config take effect for them
the 3D Model pushed into a power BI dashboard with the annotation as well, to be utilized in external dashboards.
When exploring data in CDF search industrial tools, I want to be able to open & expand the 3D model/ asset results in a new tab, without (pop out in new tab button) without leaving my search page ,currently I have to expand the result to full screen & leave my search page ( not easy to compare between different assets & have to duplicate tab & consume time for search results to load then expand only one asset per tab)not sure if I am missing an already existing feature,But a pop up button for asset overview, would be very useful for me & my clients
Dear Cognite Community,One of the repetitive tasks I have noticed in InFieldIs that some checklist items are the same for multiple templates,Or that some templates need same task added in an update ( like additional requirement update).Currently we can duplicate tasks within a single template & duplicate a whole template,But, if we want to drag & drop / copy tasks/ grouped tasks between templates, there is no option to do that,& they have to remake the same task in every template they need .I hope that this idea is put into consideration in future release of infield - as that simple addition will greatly help end users.
In Workspace Data Management / Data explorer you can preview a timeseries and download datapoints as csv (image attatched). In workspace Industrial Tools / Search, you don’t have this option to download as csv when previewing a timeseries.CDF users who use Industrial Tools / Search, have to find the ts externalId, copy it, switch workspace, paste and search for the ts externalId, preview and then download. This is very confusing and non-intuitive, especially for new or casual CDF users.
Requesting to add an option in Maintain Canvas to choose a file when more than 1 file is annotated to an item.This feature is currently available in CDF Canvas but similar option is required in Maintain Canvas.
Hello,As seen in several topics :Cognite Hub - Alert/Notification when MQTT Hosted Extractor is down Cognite Hub - MQTT Hosted Extractor ErrorCould it be possible to configure kind of alert or notification with rules on topic filter status ?A timeline of last 72h is already computed. It could be very usefull to receive something (mail, notification) on custom trigger to avoid silent data loss. Regards,Pierre Rambourg
Overview The Atlas AI Property Extractor is a specialized ingestion tool designed to bridge the gap between unstructured documents and structured industrial data within Cognite Data Fusion (CDF). Leveraging Atlas AI agents, it automates the extraction of key technical information—such as equipment tags, metadata, and relationships—from complex documents engineering reports, and technical manuals.This module simplifies the process of turning static documentation into a dynamic, queryable knowledge graph, enabling faster search and better data contextualization for Subject Matter Experts (SMEs).Typical scenarios include:Extracting discipline, priority, or category from notification descriptions Populating structured fields from unstructured comments or notes Creating AI-generated summaries alongside original source data Enriching data models with values that would otherwise require manual entry Accumulating tags or keywords over time (append mode) Re-extracting properties after LLM upgr
On the platform, when we have more than one annotation on a file, if they are very close to each other (overlapping by a pixel or two), the platform shows the overlapping box so we can select the correct annotation.I understand this as a bug.See the images below:The tags PB2885C and XA2885C are very close to each other. The overlap between them is barely noticeable.However, when you click on either one, both tags appear in the overlapping box:I’ve seen this happen every time we have annotations that are very close to each other.For a better user experience, it would be ideal if, at the moment of the click, the platform could understand that only one annotation is actually inside the click area.This would prevent the overlapping box from appearing and would solve the issue.Is this something we can have fixed?
With the use of Cognite Core Datamodel, we can create different types of Assets. Right now I have a case where I have EquipmentTag and Functional Locations.An EquipmentTag always has a FLOC a parent. So the Hierarchy is always:FLOC1-- FLOC1.1----EquipmentTagFLOC2--EquipmentTagIn this case, If I open the EquipmentTag, te UI is trying to get all the hirarchy as EquipmentTag, so the UI knows that exists a path, but can’t create the tree-view cause no data is returned. If I open the same EquipmentTag just as an Asset, the tree-view works fine, but then I lose all the specific data from my EquipmentTag.Openning as EquipmentTag
I’m creating this feature request on behalf of @Smitakshi Sen In CDF Data Explorer, it should be possible to download a filtered list of events into Excel or CSV format with all the selected metadata columns.For example, when filtering events by type “Failure”, CDF returns the list of filtered Failure events, however, that list cannot be exported for audit and reconciliation.
Hi everyone!We know that for an end-user, finding data shouldn't feel like a "needle in a haystack" mission. Last summer, we launched Per-Project Search Configuration, and if you haven't set it up yet, your team might be missing out on a much cleaner experience.As a Project Admin, you have the power to curate what your users see when they sign into Search. Instead of a generic view of data that maps 1:1 to your detailed data model definition, you can hand-deliver the most relevant data.Why configure your categories? Instant Clarity: Define exactly which columns appear first. No more side-scrolling to find the "Status" or "ID." Relevant Filtering: Hide the noise. Display only the filters that actually matter for that specific category. Context at a Glance: Tailor the "Properties" card so the most crucial metadata is front and center. ⚡ Quick Start Guide: Check Access: Ensure you have appconfig:read/write and app-scope = Search. Your users also need appconfig:read to make the config
Overview: This quick start guide provides a comprehensive introduction to implementing and working with the Quickstart Common Data Model (CDM) and contextualization workflows in industrial environments. It combines data modelling fundamentals with practical contextualization techniques to help you build robust industrial data management solutions.This guide walks you through the concept of Quick Start Enterprise data model and the steps to download, configure, and deploy QuickStart using the Cognite Toolkit. What is Quick Start Enterprise Data Model(EDM)?: A ready-to-use data model for Cognite Data Fusion that standardizes core industrial data like Assets, Time Series, Work Orders, etc. Speeds up projects by replacing manual setup with a modular, deploy-ready structure that cuts onboarding time from weeks to hours. Provides scalable, reusable architecture so developers can focus on building applications instead of infrastructure. Why Quick Start Enterprise Data Model is Needed? A
Currently if I perform a search, in equipment for example, I can only display the first 100 results with no ability to see the remaining results. There is also no way for me to export the results to an excel spreadsheet. We can work around the export issue but there doesn’t appear to be a workaround for viewing more than the 100 first results.
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