Product User Community

 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. 

Hei!In the current schema setup, I might make a query such as this:The terms ‘edges’ and ‘node’ is a bit confusing to me. I’m not sure what they really mean in this context (I understand it from a graph db point of view, but its a bit confusing from other points. I might expect something like this instead{  listAsset() {    items {      externalId    }    pageinfo {      cursor, ...    }  }} Curious to hear your thoughts on this :)

Hi, I am trying to use templates to model domain specific connections between assets and time series in CDF, and I have come across an issue that I would like some feedback on.If I have the following schema type:type StringOrNumber @template { Asset: Asset NumericTS: TimeSeries}and do the following query:query StringOrNumber { stringOrNumberQuery { items { NumericTS { __typename isString datapoints(limit: 1) { __typename timestamp value } } } }}then the datapoint output __typename has the value “DatapointString” even though the timeseries is not a string timeseries:{ "data": { "stringOrNumberQuery": { "items": [ { "NumericTS": { "__typename": "TimeSeries", "isString": false, "datapoints": [ { "__typename": "DatapointString", "timestamp": 1634534671570, "value": 14.3

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

What is best practice for global error-handling in the JS-SDK?

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

For the Retrieve data points API and a few other API’s that allow date range input, we are able to specify a string where, “The format is N[timeunit]-ago where timeunit is w,d,h,m,s.”  This is able to specify a time in the past.  I am now trying to specify end as “-365d-ago” to set a date 365 days in the future, but this is giving an error.Is there another syntax available for specifying future dates?N[timeunit]-afterNow?365d-afterNow?

Hey,At Statnett we’re thinking about our progress towards a world of more flexible data models. Although your introductions have been great,  we’re still confused about the particulars surrounding the transition between types of models.In particular, we consider the lineage of and managability of transformations of data. In the language of your data-modelling: we want the arrows between Source, Domain and Solution models to be versioned and configured as code. Is this a planned feature? If so, do you have any sketches of how this will look?Transformations might be what we call “Interfaces” in the Domain and Solution models. I.e. the physical transformer from (e.g.) Siemens is implemented by a functional 300kv to 132kv transformer at the Substation “Foo”. Currently, we model this as two assets (phys. trafo and func.trafo) with a Relationship with label “Implements”. These relationships are more or less hand-crafted. But, we would like to have these mappings, and links, as code. Preferra

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.  

Are Synthetic Time Series able to reference other Synthetic Time Series in their formulas specified?   This is the problem I am trying to solve:Synthetic Time Series is limited to referencing 100 time series Sometimes a unit/facility/system/functional location/site may have more than 100 direct child assets I need to calculate a “Synthetic Time Series” that is the daily average of a time series found on all child assets My thought is that, for 300 assets, I would have:STS A: Sum for assets 1-100 STS B: Sum for assets 101-200 STS C: Sum for assets 201-300 STS D: Sum of STS A, B, and C divided by 300Is there a better way to accomplish something like this in CDF?

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 :) 

I tried logging in with these commands: platypus login --cluster greenfield --tenant "schema-test"which didn’t work as I thought the tenant was a CDF tenant and not an Azure AD tenant. Then I tried:platypus login --cluster greenfield --tenant "c08c2afd-4823-482b-9113-ed2746fe6026"Which gave me a “Login successful” webpage, but the CLI said: “failed to authenticate against CDF project: platypus”. Then Soumesh pointed out that platypus is the default project, and I needed to type: platypus login --cluster greenfield --tenant "c08c2afd-4823-482b-9113-ed2746fe6026" schema-testWhich worked I think having default values made it harder to use as the CLI didn’t guide me on missing project name / CDF cluster etc, and maybe a better name than tenant as it can be interpreted as CDF tenant/project.

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