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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.

The digital twin is the foundation for industrial digitalization efforts, delivering real-time insights, accurate forecasting, and intelligent decision-making. In the almost two decades since the term was invented, industry - and the world - have changed dramatically. So what’s next for digital twin technology? Johan Krebber, IT Strategist at Cognite, summarized his perspective on the evolution of the digital twin concept during a panel at Ignite Talks, 2021’s big industrial digitalization conference.Read here an extended expert interview between Johan and Petteri Vainikka, our Vice President of Product Marketing, on the future of digital twins:  Did this interview cause some reflections? We’d love to hear from you and your experiences. 

We would like to change a name of our dataset in Fusion (specifically data set id=7661001648160088 on statnett, test), but get the error message [  {    "status": 400,    "message": "Either set must be populated or setNull must be true."  }]` The dataset has related timeseries and asssets. What does it mean that the dataset must be populated? And what are we missing?

A college has lost the Cognite hub account in the authenticator app.He cannot register as new account since his account exists.He needs to re-register Cognite hub but does not have the account details to manually enter them.Could you please provide details of the code and URL.Note that currently Cognite hub only provides the option to authenticate via the authenticator app. Could you also provide the option to authenticate via a text message. 

This article is intended for customers that are planning to migrate, or are in the process of migrating, to Cognite Data Fusion’s (CDF) new authentication system which will be based on Open ID Connect (OIDC). It will cover in detail all aspects of this migration process, and hopefully help making this migration process as simple as possible.What is OIDC? OpenID Connect is an industry-standard protocol supported by many popular identity providers (IdP), such as Azure Active Directory (Azure AD), Microsoft's cloud-based identity and access management service.For more information about OIDC, please visit the official website. What are the benefits of using OIDC over CDF’s legacy authentication? The greatest benefit of using OIDC over CDF’s legacy authentication, is that the user’s identity will now have a single source of truth – the Identity Provider (idP). This simplifies identity management greatly, and makes it more secure by leveraging the idP’s strength – namely identity management.

Hi all, did you know you can activate Cognite Solutions Portal, your one stop shop to all your Cognite enabled solutions, with just a few clicks? Check out this video for a quick deep dive into the Solutions Portal.I presented the Solutions Portal at yesterday's Product Release Spotlight Webinar as well. I'd recommend you to watch this webinar, for a quick intro to our major December release features. The recording is available for you here.For any thoughts, ideas or feedback on Cognite Solutions Portal, I'd love to hear from you in the comment field below this post