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Exciting News! We are thrilled to announce the launch of a remarkable customer story featuring Aker BioMarine and their incredible journey with Cognite Data Fusion. We invite you to dive in and take a look at the incredible results they achieved! In a nutshell, here are some impressive highlights from their collaboration: 3 million data points were contextualized, unlocking valuable insights and driving informed decision-making 56% reduction in unit cost of operation within just two years, demonstrating the power of optimized processes and data-driven strategies A remarkable 73% reduction in downtime due to improved operations, ensuring maximum productivity and minimizing disruptions2x increase in output with the implementation of cutting-edge machinery, taking their operations to new heights!Want to explore this inspiring success story in detail? Don't miss out on the opportunity to learn more. Simply visit the link below to access the full story: Link to the Customer Story: Aker B
Hi, There are raw data files which are used to perform computations (yield tracking measures ) that uses tons of input data attributes to compute the metrics. Currently, VBA macros (excel) is used to perform the calculations and publishing the outputs. WE have to transfer the computation within CDF. Can we use cognite functions in this regard?. Is there a way to create python script that can perform these calculations within the CDF. If not, should we create some external cloud based construct like Azure functions or Lambda routines?Please share some examples are snippets that can help to perform this project task.
Hi community members, Many of you have likely heard of – or directly experienced – the industrial data problem that stands in the way of the success of Asset Performance Management (APM) strategies and solutions.In light of this, we wanted to share an insightful report recently published by Verdantix that highlights these challenges and compares APM vendors on the market today.We’ve summarized the key findings from this report as a guide for asset-heavy organizations seeking to invest in Asset Performance Management software. Click here to read more on our blog.We genuinely value your input and would love to hear whether these challenges and proposed solutions resonate with you too? Your thoughts and experiences are important to us as we continue to explore ways to overcome the hurdles faced by the industry. Thank you for being a part of our community, and we look forward to your valuable thoughts!
I am able to browse ds-basics , cdf-fundamentals ….etc
I have been using RAW tables and creating a final table out. After creating a transformation, I could see the number of rows as ~8000 but that's a wrong number. After changing the transformation a bit, now I got the correct number post running the transformation which is around 4000 but the final RAW table isn't changing.I could see that the table isn't being overridden with the new data. Can anyone explain me why? Thanks in advance!
“So, what actually is contextualization?” As a Cogniter, this has to be the question we get asked most frequently. From customers, partners, and peers, as well as family and friends.If you’ve asked yourself this question, then I’d highly recommend reading this blog post where @terjelo offers a great (and simple!) definition, as well as a real-world industrial example. Hopefully it’s something you’re able to use when your colleagues ask you more about contextualization! contextualization (noun)Contextualization is the process of identifying and representing relationships between data to mirror the relationships that exist between data elements in the physical world. The result is a richer data model that is greater than the sum of its source systems.
Hello team,We have ingested 15671 instances on an indexed model.While trying to view the data on the data managment tab on the fusion UI, we are getting 408 error.When we try to query the data through GraphQL, even if we apply limit of 1 we are getting the same response.Error message: { "title": "", "message": "Client request(POST https://westeurope-1.cognitedata.com/api/v1/projects/slb-pdf/models/instances/query) invalid: 408 Request Timeout. Text: \"{\n \"error\": {\n \"code\": 408,\n \"message\": \"Graph query timed out. Reduce load or contention, or optimise your query.\"\n }\n}\""}Details of the model:space: gb_MovieDMdata model: Avocet data model
If I have view B which implements view A, in the definition of view B do I need to list the properties (e.g. container mappings) that are “inherited” from A? I noticed that if I don’t list them, this works fine the first time when view B is created (I can see the inherited properties automatically included), but if I try to update view B (even if nothing changes) the call fails saying that there is a change in the property list and the version needs to be changed. I’m assuming this is because the inherited properties are missing from the definition. Is this behavior by design and I have to explicitly list the properties, or would it be considered a defect?
HI, May i know how to schedule a refresh in Power BI for Cognite as i am facing below error?When i try to schedule, i see it is disabled for me.I tried to install the gateway locally as well but it says installation failed.While establishing the connection with CDF on PBI desktop i get pop-up as third party connector. Does that mean PBI service doesn't support scheduling for Cognite?Please help.TIA.Regards,Arati
Hello, it’s kind of easy to get all edges via rest api, but how i can filter them by start node? It’s not clear from documentation how to create such filter. Or any other approach using rest api will help me.{ "instanceType": "edge", "limit": 1 "filter: { "property": [], "value": "value" }}My filter is not correct here, but what I want is to filter all edges where “startNode”: {“space”: “name-space”, “externalId”: “some-id”}
Have a feature request or idea for a new and improved functionality?Then we want to hear all about it! We’re constantly working to improve the Charts product experience.You can choose to either create a dedicated post (topic) in the Charts group by clicking the Create topic button OR simply post a reply below in this thread. Remember to say whether your feature request is Nice to have, Important, or Critical to you and why. Screenshots, sketches, or explanatory videos are also encouraged.
Hey!In our tooling for Power Analysts we compute synthetic-timeseries for them to evaluate scenarios of flow exceeding a threshold value. In the current implementation of SyntheticTimeseries only Average and Interpolation aggregates are allowed. This leads to scenarios where zoomed out (and down-sampled) views of data computed through the SyntheticTimeseries API displays non-informative values. Consider the example below, where the top image is the un-aggregated addition of two timeseries, and the bottom is with the use of SyntheticTimeseries.
Hello Team,i have deleted some of the events from cognite but still i can see its present and when i click on that then it’s giving resource not found. can anyone please help what can be the issue.and also I am trying to delete all that also not able to delete due to previous issue.PFA.
Hi Community!Check out a recent interview with Cognite’s CTO, @Geir Engdahl, discussing the potential implications of generative AI on asset performance management (APM). The interview covers what ChatGPT is and how it works, its potential human and knowledge worker implications, and what to expect from ChatGPT in the APM domain. Our opinion: generative AI is the breakthrough technology the industry needs to deliver the “iPhone moment.”What do you think? Does ChatGPT have the potential to transform legacy asset performance management processes, and if so, how? @Eric Stein-Beldring
Is there any known limitation in cognite-sdk-dotnet to be consumed in enterprise solution?
Could you please suggest how to limit source?
I was trying to upload a machine learning model file in pickle format of size 5GB. I observed that whenever the file is getting uploaded, the size of the uploaded file is 969 MB. The entire file is not getting uploaded. Only a part of it getting uploaded.Are there any restrictions on size for file upload ? Can we increase the that restriction while uploading?
https://github.com/cognitedata/cognite-sdk-js/tree/master/samples/react/msal-browser-react, I am trying to run npm install and $ REACT_APP_CDF_PROJECT=... REACT_APP_AZURE_TENANT_ID=... REACT_APP_AZURE_APP_ID=... npm startgot the following error:node:internal/modules/cjs/loader:1024 throw err; ^Error: Cannot find module '/Users/kevin.peng/code/cognite/cognite-sdk-js/samples/react/msal-browser-react/start' at Function.Module._resolveFilename (node:internal/modules/cjs/loader:1021:15) at Function.Module._load (node:internal/modules/cjs/loader:866:27) at Function.executeUserEntryPoint [as runMain] (node:internal/modules/run_main:81:12) at node:internal/main/run_main_module:22:47 { code: 'MODULE_NOT_FOUND', requireStack: []}
type SimulationModel { modelName: String! nodes: [SimNode]}type SimNode { modelName: String input: [Key]}type Key{ modelName: String unit: String}With the above sample schema, I am able to fetch all the SimNodes together with their Keys for a specified SimulationModel instance using the GraphQL:query MyQuery{ listSimulationModel(filter:{externalId: {eq : "00000000-0000-0000-0000-000000000000"}}){ items { externalId modelName nodes(first:100){ items{ externalId modelName input{ items{ externalId modelName unit } } } } } }}How to do do the same with the APIs, could you give an example? Not sure which API should be used(instances/list, instances/byids, instances/search, instances/query).
Currently, we choose the Instance Space same as Data Model ? What is the purpose of Space ? When we need to create one different with data model ? thanks :)
while using python sdk 5.10.5 and downgrade versions getting issue like 'CogniteClient' object has no attribute 'datapoints'.With latest version getting error while hitting micro service. Please find below file for your reference.
Hi In the current Cognite Infield desktop version, is there a limit on the number of characters for the synthetic tag names, before it displays “….” at the end? If so, what is the limit?We didn’t observe this in the mobile version, which seems to display full tag names that are longer than 40 characters completely (Some of our tags are ~40-50 characters long). But were curious with the desktop version, when the synthetic tags go “...” at the end and seems to hit a limit?Also, assuming this wouldn’t be a case in Infield 2.0, where there is a lot of expected improvement in space/layout. Thanks
I find it useful to be able to filter CDF resources by their source system.How come Assets, Files and Events have a “source” attribute, while time series and events do not? I assume then, that in order to properly filter by source for any resource type, it might be best to rather add “source” as a metadata key for any resource type, rather than use the attribute field which is not available for all resource types?Btw., for the Relationships resource type, “source” has a different meaning than it has for Assets - I suppose this could cause some confusion?
In the Data Foundation-project; there is an understanding that times series data will be represented in accordance with OPC-UA data model using the FDM (DM) functionality in CDF. Is there any issues here in relation to the limitations in FDM stating that there is a limit of 10 million instances? Or will it be designed so that this will not be an issue?
Hi,I’m going through the Python SDK- CDF Transformation module in the DATA ENGINEER BASICS - TRANSFORM AND CONTEXTUALIZE course.While I’m able to create the Transformation object, I’m unable to run due to some Authentication issues. When I’m trying to run using the below code:client.transformations.run(asset_transformation.id, wait=False)I’m getting the following error :Transformation job could not be created.Error code: 403API error: Invalid source/destination credentials: Could not authenticate with the OIDC credentials. Please check your credentials.Request ID: 1a470c41-9001-989b-8f97-a2aaefdfd098Is it due to some recent change in the Oidc credentials defined in the notebook currently?
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