Product User Community

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, Thank you for all the great docs and tutorials you’ve put together on CDF.  I would like to get an expert opinion on the best way to accomplish a specific use case I have.We have a daily time series that we calculate for predicted availability of an asset, for a time range that is usually between 5 and 40 years (usually between 1,826 and 14,610 data points per time series).  We have a view were an engineer will want to see this time series graphed, but also will want to see a single KPI value that represents the average of the time series from today to end of the range.  For all of our assets, this KPI could be ready several times a day as people view this KPI.  When we were storing this data in Azure SQL, to speed it up, we pre-calculated and stored this KPI average and stored a new time series (throwing away some of the time series points and linear interpolating).  That way, reading a single data point representing the average of from today to the end of the range and display

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

Hi! If one or more of the source-timeseries are missing data-points they will also be missing in the synthetic timeseries output..We would like an option to default to zero for missing values so that the API will use the available values to calculate a partial result. Example:TS1: [1,2,3]TS2: [3, undefined, 4] Output now if calculating a sum of TS1 + TS2:[4, undefined, 7] What we would like:[4, 2, 7]  

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

In heavy asset industries 3D scans are used for applications such as quality inspection, project progress reporting, project planning, evaluating the state of a site ‘as built’ or even evaluating the vegetation around it. The scans span from simple scans performed with a drone in 15 minutes to complex and detailed scans of a plant, taking several weeks to complete. In this 3 part series about 3D scanning with robots we will take you through how to capture, transform, analyze and visualize 3D scan data in order to improve daily operations. What we’d like to know before going is if someone has any questions or topics that you want to learn more about? All questions are greatly appreciated and can span from how do you set up the robot to capture the data to what robot and data management pipeline would you use for use case X? Point cloud from drone scan with contextualized segmentation 

Hello Charts Early Adopter Community and happy 2022!We’re going to kick off the new year with our second New Features & Feedback invited to a webinar where we in the product team will be sharing the latest and greatest features in Charts.When: Wednesday January 26th from 15:00-16:00 CETWhere: Virtually (Microsoft Teams)→ Click here to join the call; we’ll be re-posting this link on January 26th before the webinar. The features we’ll highlight in this session will include…An in-depth walkthrough of the latest features and functionalities, including... New list component design Better usability for y-axis zooming and scrolling  New InDSL functions for creating lines and synthetic signals + more A sneak peak of the features we're working on nextLike last time, I’ll be giving an in-depth walkthrough of these features and how to use them. We'll also have an open discussion between you, our early adopters, and the members of the Charts team about ideas for future improvements – we’l

You need to provide “source_oidc_credentials” and “destination_oidc_credentials” run your transformation via API/SDKBelow is the code sample how to use OIDC credentials in your transformationstransformations = [ Transformation( external_id="<external_id>", name="<name>", query="<Query>", destination=TransformationDestination.raw("<Database>", "<Table>"), conflict_mode="<upsert>", source_oidc_credentials=OidcCredentials( client_id="<CLIENT_ID>", client_secret="<CLIENT_SECRET>", scopes=f"<scopes>", token_uri=<"TOKEN_URL">, cdf_project_name=<"COGNITE_PROJECT"> ), destination_oidc_credentials=OidcCredentials( client_id="<CLIENT_ID>", client_secret="<CLIENT_SECRET>", scopes=f"<scopes>", token_uri=<"TOKEN_URL">, cdf_project_name=&

A technical introduction to parallel write-optimized and read-optimized Cognite Data Fusion TSDB.  Read the full article here:  

We have been asked by NTNU to provide data, SDKs and ocean challenges to one of their subjects starting in January 2022. Just contact me if you want to know more.TDT4861 - Bruk av AI og stordata for bærekraftig utvikling - Eksperter i Team - NTNU

Hi! We received this question from a partner and figured it could be useful for more of you, so sharing it here :) Step 1Create a label via the APIhttps://api.cognitedata.com/api/v1/projects/{project}/labelsDocument Referencehttps://docs.cognite.com/api/v1/#operation/createLabelDefinitions Step 2Run the following transformation query with the created labelselect  id, externalId,  array("<created_label>") as labels  from _cdf.assetswhere id not in (select distinct parentId from _cdf.assets where parentId is not null) E.gCreate label as “leaf_node”select  id, externalId,  array("leaf_node") as labels  from _cdf.assetswhere id not in (select distinct parentId from _cdf.assets where parentId is not null)

Hi Community! For those who’d prefer our Industrial Data Operations book as normal PDF, here it is. Enjoy! 

Hi! Welcome back to the Transformations group on Cognite Hub. Now that you have tried out the transformations SDK and API ( and, I hope you liked it and didn’t miss sharing your experience or feedback with us). In this post, I will introduce you to Transformations CLI. Before that, a bit about me and why I am writing this article - I’m Emel Varol, Software Engineer in the Data integrations team. I contributed to the design and development of the new Transformations CLI and I can’t wait to introduce it to you. Let’s get started! Please note : The new Tranformations CLI replaces the old Jetfire CLI This article has two parts. The first part focuses on how to use Transformations CLI on your local system or virtual machine for developing transformations. The second part focuses on using CLI in version control systems like GitHub for CI/CDThe following parts aim to summarise the documentation for the CLI and the GitHub Action. Please refer to the full documentation here for more details!Tra

can you enable scrolling just for the section of the page where one creates the logic? (see attached picture) it would be nice if I could specify the degree of an exp. for instance y = ax^b+c would be a second order exp, For my specific usecase a = timeseries, b = constant and c = constant.