Community Discussions

As an application developer, a very common interface to build is filtering user interfaces. There are a few types of aggregation that would be very useful to us! #1 Unique value aggregationIn order to allow for effective filtering, aggregating a field by all its unique values is vital for this, to enable showing the user all possible options for a certain filter.Generally the amount of results can be limited to perhaps 1000, but having this paginate (or a higher number of 10000) would be even better! This also allows us in many cases to avoid needing expensive ‘substring queries’ on fields, as doing this in the front end on several thousand strings is trivial. Not all fields needs this, so if its required to add a `@aggregatable` decorator, then this is fine!In addition to this, having the amount of each of these values would be useful, to allow us to sort by the most commonly occurring fields.This is by far the highest priority for our use case! #2 Count aggregationSecond most importa

 Congratulations to #PGS @Cerys James  @Sverre Olsen, selected as one of the 11 winners of the Verdantix Innovation Excellence Awards!PGS won the Safety Performance Improvement award for an incident management tool that uses artificial intelligence to identify trends, automate alerts, and proactively prevent incidents.PGS is using Industrial DataOps software, including Cognite Data Fusion®, to take a more proactive approach to HSEQ incident management. PGS worked together with Cognite to ingest observations from the reporting system into the data platform and sort observations into larger categories.Learn more here: https://hubs.ly/Q016VkD00

The @searchable field is a great addition! Fundamental for certainThe final point to make it usable for us will be to allow the user to select what searchable field they want to be able to filter on. e.g. given the schematype Equipment {  name: String @searchable @filterable  description: String @searchable @filterable} Its very common that the user will know that they want to search on specifically name or description. 

We are working on some new features in Charts, and would love to show and talk to some of you about it. If you have 30 minutes next week to help us make the best tool possible, please write me at emmy.reehorst@cognite.com Emmy, designer in the Charts team

Hello! We have worked on a new prototype experience with Templates. Data model editorWe have heard feedback on the current editor UI and the lack of parity with the actual possibilities of the Data Modeling via Code. For example, there is no ability to add List, references to other custom declared types. This is all resolved via the new data model UI prototype.  Data Model VisualizationAnother common request is to visualize the data model as a "graph" or "relationships". We have created a new visualizer to show the data model as nodes with relationships to other types. Note this does not show the data within the data model (yet) and we would love to hear if you would like this feature. Here is a Loom video to the prototype showing both features.What's next? We would love to hear if you would like to try out these features, given enough requests we may add this back to the Templates UI. Alternatively, we can also grant you access to a test CDF project you can use to try these features. 

Hi I'm Knut, I’m Product Management Lead working on Cognite Data Fusion. I had the pleasure of meeting some of you in our Product Release Spotlight webinar this Monday. Here's the recording if you missed it.We'd love to hear your thoughts!

Release v0.19 of ChartsHello everyone,The team and I are happy to announce that a new version of Charts (charts.cogniteapp.com) has been released! In place of a live webinar, I’ll be posting videos soon to provide both a walkthrough of these new features and some concrete examples of use cases they help to solve. In the meantime, enjoy reading the release notes and, as always, please leave your feedback or questions in the comments below.  Release DetailsFilters are now available in the search panel We’ve released some important and frequently asked for filtering capabilities in the + Add time series search panel. Everyone who uses Charts is always interested in and looking for time series. Equipment tags (assets) that do not have any time series directly related to them are now automatically filtered out of the results list, providing you with more relevant and useful results. You can always show the “empty” equipment tags, if you’d like via the new filters dropdown. Empty equ

Can machines think? Hello Community! As this is my first post, I would like to introduce myself. I'm Shailja, my team and I work on Cognite Learn where you can find Cognite's  e-learning courses and live virtual training sessions. Cognite allows me to continue my passion for cinematography and editing, and I genuinely love what I do. Today, I’d like to introduce you to our digital upskilling offering. With the help of our learning paths and bite-sized courses, you can learn about technologies that enable digital transformation. One of the topics you can explore is artificial intelligence (AI). Understanding how AI works in our daily lives would benefit all of you.The buzz around artificial intelligence began in 1950, followed by deep learning. Until the late 1970s, it was a part of AI’s evolution. Then, it branched off to evolve on its own.Artificial Intelligence (AI) allows machines to learn from their mistakes, adapt to new inputs, and execute tasks like humans. From chess-playing co

Issue:When we install Cognite python SDK if you are observing an error warning as below,WARNING: Discarding https://files.pythonhosted.org/packages/25/50/0466d5d83e1859c5ca38351ee932d64cc5635f9d4dad522879e58f4b0018/Fiona-1.8.2.tar.gz#sha256=4c6419b7ac29136708029f6a44b4ccd458735a4d241016c7b1bab41685c08d8f (from https://pypi.org/simple/fiona/). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.Downloading Fiona-1.8.1.tar.gz (1.1 MB)|████████████████████████████████| 1.1 MB 3.2 MB/sERROR: Command errored out with exit status 1:command: 'c:\users\mithila\appdata\local\programs\python\python39\python.exe' -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\mithila\AppData\Local\Temp\pip-install-3ru45mbx\fiona_e5daa4b655dd467bb03096ab64aa19ae\setup.py'"'"'; file='"'"'C:\\Users\mithila\AppData\Local\Temp\pip-install-3ru45mbx\fiona_e5daa4b655dd467bb03096ab64aa19ae\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', op

Yesterday, we hosted our first Digital Services and Sales Forum for our manufacturing customers who are building new applications on top of CDF.  The goal of this forum is to create a space for our customers to learn from each other on key topics relevant to building and launching digital services and software.  The focus for this forum was pricing where we heard from @mortenhuse from Properate and Rune Larsen of Accenture, but in the future we’ll cover other areas such as recruiting, product positioning, onboarding, customer success, etc. Thanks to all who attended!  The presentations we shared are attached. If you weren’t able to attend, but would like to in the future, please contact your Customer Success Director.  Hope to see you at the next event!All attendees of our first Manufacturing Digital Services and Sales ForumMorten Huse and Morten Hveding Juel presenting their Properate solution, built on CDF 

If you’re at CERAWeek this week, we hope you’d like to stop by and say hello us! Look out for some of our leaders @John Markus Lervik, @Paula Doyle, and @Francois Laborie in the CERAWeek Executive Conference and Agora sessions, and come find us at the @Cognite and @Aker Horizons house at Innovation Agora.  

Hey! In accordance with how you’re thinking about flexible-datamodels. Has Cognite done any exploration around flexible time-series modelling? Akin to what you’re doing with charts, a fleet of sensors might be viewed as having the same transformational needs as an Asset does.  At Statett, we have “views” of  data (typically some linear combination of time-series). We persist these with synthetic time-series as an intermediary, then upload to a new TimeSeries. Unfortunately, the data is not immune to updates or backfills. So these computed TimeSeries either have to have a pretty severe lag, or we have to re-compute at an alarming rate, wasting compute. These computed time-series are further used in computations that we would like persisted. Do you envision expanding Charts to cover this functionality? I.e. having the configuration as code, with Stream logic for re-computes etc.? Or, do you have no plans for Managed Data Transformations?  Thanks for your response :) 

Feel free to join this session on 9 March at 7-8pm CET by Inna Zrajaeva about ocean data in situated experiences. Get ideas about how complicated ideas and concepts can be explained in a direct environment and situation. Inna is writing her master thesis together with UiT Norges arktiske universitet and HUB Ocean 🐳https://www.eventbrite.com.au/e/ocean-data-and-situated-experiences-tickets-289415408277#oceandataplatform

We are happy to announce a new CLI tool for managing your Template Data Models. This should help you in developing an application, and we hope to also make this tool useful for data science workflows as well.Here’s the link to the public documentation for the CLIhttps://www.npmjs.com/package/@cognite/cdf-cliInstallation instructionsTo install, make sure you have Node (at least v14) installedand then runnpm install --global @cognite/cdf-clioryarn global add @cognite/cdf-cli Key features:This CLI is meant to be an additional tooling that allows you to do everything the UI can.1. Logging in/out through the CLI for users and machines (Users for local workflow, Machines for CI/CD)Logging in as a user - Loom demo, docs Logging in as a machine - Loom demo, docs2. Managing Templates via CLI  - docsCreating, deleting and listing templates3. Development Workflow via CLI - docsInitializing workspace Code generation Please comment and add any request or comments around features below or as a new t

While many manufacturers have successfully fostered lighthouse sites, very few have been able to replicate this success across their other production sites.The purpose of these lighthouse sites are to act as the guiding model for other production sites, providing a wave of innovation to address use cases that will increase productivity, improve quality, reduce energy and water consumption, and much more. The problem is that lighthouse facilities on average only account for 10-15% of production volume, and manufacturers are struggling to replicate this success to the significantly outstanding 85-90% of their production.Read in our latest blog why aren’t lighthouses scaling. And how to ensure that your lighthouse success can be carried forward to other production sites. Did this article cause some reflections? We’d love to hear from you and your experiences.

Hi there,I was wondering how one would go about representing a CDF Client credential as a connection string.The main idea is to have a single string representing the credentials needed to connect to CDF. The connection string itself should be unwrapped by whatever client it is passed to (Python SDK, JS SDK, etc), and should of course not be sent as part of the request to the API.For tenants using API-keys, something like this may make sense:cdf://CLIENT_NAME:API_KEY@api.cognitedata.com/PROJECT_NAMEHowever, using tokens instead of api-keys is a bit trickier:cdf://TOKEN_USERNAME:TOKEN_SECRET@api.cognitedata.com/PROJECT_NAME?token_url=TOKEN_URL&token_scopes=TOKEN_SCOPESNaturally, it is possible to but anything in the URL parameters, but generalizing the username, password and path-properties would be great.Some challenges that come to mind:How to differentiate between different authentication methods (i.e. api-keys and tokens Is it possible the keep a consistent scheme regardless of a

Hi Community,We are excited to announce that we have made some changes to our documentation portal! We have migrated to a new content management system. This will allow for improved search and internationalization.This is the first step to revamping the documentation portal to allow for quick access to relevant content as well as a introducing a dedicated developer portal with guides and an overview of all available libraries.As part of this, you might see some small changes to where information is located. If you have any feedback or feature requests, please let us know. BROmar

Hello Charts Early Adopters,On December 7th, 2021, we released a new and improved version of the no-code calculation builder (see image below). You can read more in this release post or watch the webinar recording. Ever since this release, all new calculations have been created using this new implementation of the no-code calculation builder.The “new” no-code calculation builder.We will release new features on Monday, February 28th and, as a result, we will no longer be supporting the old version of the no-code calculation builder. Therefore, if you have a calculation in any chart that was created using the “old” calculation builder (see image below), you must recreate it using the new version to avoid losing your work. The “old” no-code calculation builder; calculations using this old calculation builder will no longer be supported from Monday, February 28.If you have not used Charts before December 7th, 2021, or, you have no need for the calculations you created using the old no-code

During the last 2 years, Cognite has taken a very iterative approach to enable flexible data modeling. The key highlight towards this effort can be outlined through 3 key initiatives - Templates, Schema Service and ITG. In this article we will hope to outline the key difference between the 3. Templates Templates is a data modeling capability built on the concepts of GraphQL. Through building a GraphQL data model, you can define the data model that is intended for your solution. Additionally, you can load data into the data model via referencing existing CDF resources or loading in values directly for primitives like String, Boolean, and Float. Lastly, you get the ability to query the data via a GraphQL endpoint, supporting pagination and complex logical filters (with ANDs and ORs).Here is a list of features doable via TemplatesModeling data modelPrimitives (String, Boolean etc.) Relationships between them (1-1, 1-N, N-M). References to Asset, TS, Sequence, File VersioningQueryingBasic

Thanks to those of you who joined us live for yesterday’s New Features & Feedback webinar series.You will find the session recording, below, and you can view the slides that we presented by clicking here.As always, if you have any comments, questions, or feedback on these new features or anything else Charts-related, please do post about it here on Cognite Hub.

Hi!Don’t miss the Cognite Data Fusion February release note just published in the Product Updates section here on Hub! We also have a Product Release Spotlight Webinar lined up for you where our product experts will go through the main features in the release. Sign up and find previous Product Release Spotlight Webinar recordings here.Let us know if you have comments or questions, small or big, we’d love to hear your thoughts 

Hi Community, I just wanted to let you know about our new Demo Hub that recently launched.  You should take a look at the great video content here, which walks you through a number of existing use cases and capabilities within CDF. Check this out and let us know what you think.  

Hi Community! We’ve got a new Demo Hub for you with product stories and demos, you might want to check it out! Let us know your thoughts 

This is a friendly reminder that we will be hosting our New Features & Feedback webinar today from 15:00-16:00 CET  → You can join the Microsoft Teams call by clicking here ←If you have any trouble joining, please leave a comment in this thread or send an email to eric.stein@cognite.comWe’ll be giving a live demonstration of the newest features that were released this week.We’ll also have an open discussion about use cases that you – our early adopters – want to solve or have already solved with Charts.This session will also be recorded and the video will be shared here in the Early Adopter Group afterwards.Looking forward to seeing you soon on the call!Eric & the Charts team

The team and I are happy to announce that a new version of Charts (charts.cogniteapp.com) has now been released! You can read the specific details about this release below.Please try these new features for yourself and share your feedback with the community here in the Charts EA group.Remember to join our webinar on Wednesday, January 26th from 15:00-16:00 CET, where we'll be walking through the details of this release, discussing real use cases you’re facing, and giving you a sneak peak of some upcoming functionalities. For details and joining info, please visit this post.  Release Details Search for time series related to a specific equipment tag Once you’ve found the equipment tag you’re looking for, click on the equipment tag name to perform a sub-search for time series related to that specific equipment.   Better usability for y-axis zooming and scrolling Adjust the y-axis by simply clicking + dragging or by scrolling while hovering your cursor on the y-axis. No more “Adjust y