Community Discussions

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!

I had the honor of attending NVIDIA GTC 2026 alongside our Principal AI Architect, Peet Cremer, our Head of Cognite Atlas AI, Justin Lawyer, and our SVP of Partners & Alliances, Trygve Ronnigen. Between Jensen Huang's visionary keynote and the buzzing energy at the Microsoft Pavilion, one thing is clear: we aren't just talking about "cool AI" anymore - we are talking about AI that works in the physical, messy, and complex world of heavy industry.Our team spent the week diving deep into the next generation of compute and intelligence. Here are the core insights we’re bringing back from the ground. Key Takeaways from the GTC FloorThe pace of innovation is accelerating, and NVIDIA's latest announcements are shifting the goalposts for what's possible in industrial AI:Security for the Agentic Era: As we move toward autonomous AI agents, security is non-negotiable. NVIDIA's launch of NemoClaw, featuring the OpenShell sandbox and enhanced privacy, is a big step forward in making AI safe f

Innovation happens best when everyone has a voice. Instead of relying on a single project manager to funnel feature requests, Cognite Hub solves the bottleneck by enabling all eyes in your organization—or our global community, depending on your preference—to tap in. Whether you are an admin, a developer, or a daily end-user, this is your official space to share frontline insights and directly influence the Cognite Data Fusion product roadmap.Why Submit Your Ideas? Public Ideas: The Product Ideas board is your dedicated space to share requests with the Cognite product team and the community. Submitting publicly allows others to validate, vote on, and build upon your idea! Private Ideas: Submitting privately ensures that feature requests tied to your unique business goals, confidential internal initiatives, or proprietary workflows stay strictly between your organization and Cognite. Track Your Impact: Want a top-level view of your contributions? Upon request, the community team will

Innovation happens best when everyone has a voice. Instead of relying on one person to funnel feature requests, Cognite Hub solves the bottleneck by enabling all eyes in your organization - or our global community, depending on your preference - to tap in. Whether you are an admin, a developer, or a daily end-user, this is your official space to share frontline insights and directly influence the Cognite Data Fusion product roadmap. Why Submit Your Ideas? Public Ideas: The Product Ideas board is your dedicated space to share requests with the Cognite product team and the community. Submitting publicly allows others to validate, vote on, and build upon your idea! Private Ideas: Submitting privately ensures that feature requests tied to your unique business goals, confidential internal initiatives, or proprietary workflows stay strictly between your organization and Cognite. Track Your Impact: Want a top-level view of your contributions? Upon request, the community team will share an

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

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

 Hi everyone! 👋 Join us tomorrow to see the results of our "Hack for Impact" challenge. We are hosting Tridiagonal.ai (presented by ​@Dinesh Makked ) and SLB (presented by ​@Aditya Kotiyal) to present the winning concepts they developed for "Smart Operations" and "Cognite Vision."This is a fantastic opportunity for the community to: Celebrate the creativity and hard work of your fellow community members. See the specific approach these teams took to build their solutions. Hear the story behind the project directly from the creators. Hope to see you there! 🗓️ Thu, Jan 15 @ 3:00 PM CEST 👉 Register Here

Hi everyone,As we prepare for the General Availability release of Records in CDF on December 2nd, 2025, we're implementing important changes based on learnings from the Private Beta program.Timeline: These changes will be rolled out progressively between today and December 2nd, 2025. We'll update this post as specific changes go live.What's changing:Record-specific containers We are introducing a new type of container dedicated to records, which has higher limits for number of properties, and will allow evolution of the records specific container as more features are made available in records. This container is defined by the usedFor field set to "record". It will be possible to ingest records only into containers with usedFor set to "record" Any records already ingested into non-record containers will remain queryable, but new ingestion attempts to these containers will fail This separation enables better schema management, clearer data organization, and simpler logic for clients q

Hey everyone! 👋 I've been diving into the world of CDF data modeling for the past couple of weeks, and I thought I'd share what I've learned so far in a way that's easy to understand. First off, let's talk about the term "Data Modeling." It's everywhere in CDF - in API endpoints, UI, docs - but its meaning can vary depending on where you look. After some digging, I've figured out what it means specifically in CDF. Essentially, it's about organizing, storing, and working with data in a way that's perfect for handling complex industrial scenarios. Think of it as the foundation for unleashing the power of Cognite Data Fusion on your industrial data. So, what exactly makes up a Data Model in CDF? Let's break it down: Space: Think of it like a folder where everything in a Data Model hangs out. Containers, views, instances - they all belong to a Space and have their own unique ID. Containers: These are like the storage units for properties. They live within a space and hold sets of proper

  The countdown is on! Cognite Hub has officially launched the Impact Challenge 2025 -a no-code hackathon inviting all our community members to roll up your sleeves and solve real-world challenges using Cognite Data Fusion. Unlocking Value Through Community InnovationAt its core, this community-driven initiative is about unlocking value - from accelerating CDF adoption to creating user-friendly solutions, breaking down silos, and driving measurable business impact. And it’s all happening without writing a single line of code. Let’s turn ideas into Impact!Expert Support and MentorshipParticipants will be supported by a panel of Cognite experts and community leaders who will mentor and guide top ideas as they evolve. After an initial round of social voting, the top 10 concepts will receive dedicated mentorship to help bring their visions to life.Recognition and RewardsAnd the reward? The best ideas will step into the spotlight at the Impact Conference in Houston, gaining visibility, reco

Below we have outlined several frequently asked questions and their corresponding answers.Don’t see the answer to your question? Post as a reply in this thread and we’ll be sure to answer and/or add it to the FAQ list below! Protip: Use [cmd+f] or [cntrl+f] to search for keywords related to your question. FAQsHow do I create a new chart?You can easily create a new chart by clicking the + New Chart button on the landing page after entering How do I edit the name of my chart? From the landing page, click the vertical “•••” to the right of the chart’s current name to reveal a drop-down options menu. Click the “Rename” option to open the text box. When finished, you can save you change by clicking the “Ok” button or by pressing “enter” or “return” on your keyboard to save the name. To cancel, click the “Cancel” button or press “escape” on your keyboard. While viewing the chart itself, mouse over the chart’s name in the top menu bar to reveal the  icon.   Remember, it’s important to choose

A common setup that we have at Cognite is having 3 different environments: development, test and production. We have one specific Cognite Data Fusion (CDF) project for each of these environments. This setup allows to develop new features without interfering with production data. Also, it makes the deployment of new features to production much safer, since they are tested before.Sometimes, you still want to have the data you used during your tests, in your production environment. For example, if you extracted some data from sensors and saved them as time series in CDF, you may want to keep this historical data when you move to production. Same goes with files, assets, datasets, functions etc. Another example could be the replication of the data from a full production CDF project, to one of your customer’s project, containing only a subset of the source one.At Cognite, we have a python package (available at https://pypi.org/project/cognite-replicator/) whose purpose is to copy the select

Hi everyone!  🔔 Just a quick reminder that our comprehensive, self-paced, and on-demand courses are available at Cognite Academy. Whether you're looking to enhance your skills or explore new areas, we've got something for you! Upon completing a course, you’ll earn a certificate that will be added to your community profile and can also be added to your LinkedIn Certifications, helping you showcase your achievements to a wider network.Looking for more hands-on learning? We also offer 5-day intensive in-person trainings for those wanting a deeper dive.Unlock your next learning journey today!🚀

Hi Cognite Community! I'm Henry Martinez, Head of Products, Operations data  in SLB.I’m thrilled to announce that I’ll be speaking at Cognite’s Impact user conference, where I’ll be diving deep into how Cognite Hub has played a pivotal role in advancing the SLB and Cognite partnership. We’ve seen firsthand how the Hub has streamlined internal processes, enhanced user onboarding, and boosted product engagement. With nearly 7000 active members, the Hub has become a go-to place for expert advice, industry discussions, and knowledge sharing.Here are some key highlights I’ll cover at Impact:How the Hub’s collaborative environment fosters innovation and strengthens partnerships Ways to make the most of dedicated feature groups for early adopters, gaining access to beta features and expert support Leveraging event calendars, submitting product ideas, and voting on existing ones to actively shape the future of our productWhether you're attending the conference or engaging here in the community

We’re excited to announce that Cognite is now officially listed on the CSA STAR Registry at Level 1! 🌟Cloud Security Alliance (CSA) STAR Registry is a trusted benchmark in cloud security, providing a comprehensive view of the security practices of cloud service providers. Being included in this registry means that Cognite meets the highest standards of security, transparency, and trustworthiness in the cloud industry and joins a competitive list of other recognized leaders. With over 2,000 cloud service providers listed, we’re proud to have our name among the best.So, what does this mean for you? As a Data and AI company, Cognite is dedicated to empowering industries worldwide - from Energy and Process Manufacturing to many other industrial sectors. Our solutions help improve production uptime, optimize operations, and drive innovation. We’re committed to not only delivering cutting-edge technology but also ensuring that your data is handled with the utmost security and care.This reco

Hey everyone ! Welcome back to our data modeling adventure in CDF! In my first post, I tried to explain my understanding of the core concepts - spaces, containers, views, and the elusive knowledge graph. We learned how data models act as the foundation for unlocking the power of Cognite Data Fusion for your industrial data.This time, let's delve deeper into the world of views and containers - the essential ingredients that bring your data models to life! Beyond the Fundamentals: Unveiling Views and ContainersThink of a data model as a recipe. It doesn't contain the actual ingredients (data) itself, but it tells you exactly what pre-made dishes (views) and fresh ingredients (containers) to use. Views: The Pre-Assembled Data: Imagine views as pre-prepared dishes – Views are essentially pre-defined data selections curated from specific containers. These containers hold the raw data (think sensor readings or equipment properties). A single view, akin to a pre-made sauce, can be referenced