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Welcome to Cognite Hub

How to sign up for Cognite Hub and Cognite Academy

A step-by-step guide to Cognite Hub and Cognite Academy Sign Up As a Cognite customer, partner, or user, you can sign up to Cognite Hub and Cognite Academy. We recommend you to sign up with your company email. Follow the below steps to log in. If you still need help signing up, please email us at hub@cognite.com. Navigate to https://hub.cognite.com/ Click on the login icon: Click on "New to Hub? Register here" to sign up as a new user Enter your user name and email. (special characters are not allowed in the user name field) Click Sign Up: Enter passwordYou will now be directed to update your profile in Cognite Hub. Fill in the details and click Save: Now you're all set up to start using Cognite Hub! If you'd like to access Cognite Academy, follow these additional steps: Click Academy:Click Sign In: Now you're all set up to start using Cognite Academy!

Eniko FarkasCognite Academy Instructor

Academy Discussions

CDF Fundamentals Discussion

Welcome to the CDF Fundamentals Discussion!This discussion is dedicated to help learners of the Cognite Data Fusion Fundamentals learning path succeed. If you’re struggling with the exercises in this learning path, try the tips & tricks below or post a comment with the challenge you’re facing. You can also post your own tips and respond to fellow learners’ questions. Cognite Academy’s instructors are also here to help.

Pasindu PereraSeasoned Practitioner

Academy Discussions

Getting " error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.38.33130\\bin\\HostX86\\x64\\cl.exe' failed with exit code 2" when run poetry add pandas

I am getting following error during the execution of poetry add pandas command in Data Engineer Basics - Integrate course. I have attached the complete output for you reference. Prevously I got an error saying install the latest Microsoft Visual Studio C++. After installing latest Visual Studio C++ I got this error.``` error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Tools\\MSVC\\14.38.33130\\bin\\HostX86\\x64\\cl.exe' failed with exit code 2 at ~\AppData\Roaming\pypoetry\venv\Lib\site-packages\poetry\installation\chef.py:164 in _prepare 160│ 161│ error = ChefBuildError("\n\n".join(message_parts)) 162│ 163│ if error is not None: → 164│ raise error from None 165│ 166│ return path 167│ 168│ def _prepare_sdist(self, archive: Path, destination: Path | None = None) -> Path:Note: This error originates from the build backend, and is likely not a pro

Shehan KarunaratnePrincipal Support Engineer

Open Industrial Data

OpenID Connect on Open Industrial Data

OpenID Connect is now available on Open Industrial Data (OID). When you sign up to Cognite Hub, you get an account and can access both the publicdatacdm and publicdata projects.Whether you are new to OID or have been using API keys to access the data in this project, here’s all you need to get started with OIDC. Connection DetailsThe credentials for each project are listed below. Please use the details corresponding to the project you wish to access. For the publicdatacdm Project Details for Postman and Python SDK: Tenant ID: 48d5043c-cf70-4c49-881c-c638f5796997 Client ID: 1b90ede3-271e-401b-81a0-a4d52bea3273 project: publicdatacdm CDF_CLUSTER: api App name: OID-Api Note: This app registration is configured with replyURLs for Postman and to run Python SDK apps locally with http/https.Details for JavaScript Applications: Tenant ID: 48d5043c-cf70-4c49-881c-c638f5796997 Client ID: dea6bb8d-0f48-4bf0-a469-176fc19edc14 project: publicdatacdm CDF_CLUSTER: api App name: OID-js

Eniko FarkasCognite Academy Instructor

Open Industrial Data

What is Open Industrial Data?featured

Hi, I’m Enikö Farkas from Cognite. With my team, we create e-learning for Cognite Academy. In our courses, we put a lot of emphasis on providing hands-on experiences so you can learn to use Cognite Data Fusion through interacting with real industrial data.In most of our courses, the training data we use comes from the Open Industrial Data (OID) project which is the result of a collaboration between Aker BP, one of Europe’s largest independent oil companies, and Cognite. While the data is from the oil and gas industry, its relevance is much broader: it gives us insight into dynamic industrial processes and can inspire all industries.In this article, I’m excited to share more about this project.About the dataThe data originates from a single compressor on Aker BP’s Valhall oil platform in the North Sea. Aker BP selected the first stage compressor on the Valhall because it is a subsystem with clearly defined boundaries, rich in time series and maintenance data.AkerBP uses Cognite Data Fus

David LiuSeasoned Practitioner

Product User Community

What is Flexible Data Modeling

This document outlines a concept that CDF has been under development for the last 2 years. As mentioned during the disclaimer above, please use this Cognite Hub group and share any feedback you have around flexible data modeling.This document is reflecting some very early thinking from the App Dev Journey team, and is a mental model that will likely change overtime with your feedback!What is a Data ModelA data model enables users to customize the shape, structure their expectation of data. It plays a crucial part in building solutions (like data science models, mobile and web apps). But it is also is the core of an ontology, knowledge graphs, or industry standard.There are some crucial reasons why data models are effective for the industrial space. Data modeling enables explicit language, flexible customization, governed iteration, and enhanced accessibility towards data. Let's dive further into each of these qualities of data modeling. Data Model is ExplicitA data model needs to be

Anita HæhreHead of Academy and Community

Welcome to Cognite Hub

Connect with peers. Solve your industrial problems. Get recognized for your contributions.

Welcome to Cognite Hub! Our community is designed for builders and users of Cognite products to connect, collaborate, and learn. Explore our Cognite Hub through this quick tour: Here’s how to get started: Fill out your profile. People will be more likely to respond to you if they know something about you and if you have a picture to represent you Introduce yourself: Join any community and share about about yourself Follow Communities: Join the Developer and User or Digitalization Community, and/or any Community Groups. You will receive notifications for new topics and replies Receive Product Updates: You can sign up for Product Update notifications Share Product Ideas: Share your product ideas with the Cognite product team and community peers, and upvote ideas you support Benefits of engaging: Communities: Engage with experts and peers in our communities. Tag your questions to make them searchable for other community members. All posts are welcome as long as you follow

Maria FonsecaSeasoned Practitioner

Open Industrial Data

How to generate a client secret for Open Industrial Data?

In Open Industrial Data (OID), we have moved away from API keys. Open Industrial Data currently supports Open ID connect. You can check out more on how to configure OpenID Connect on Open Industrial Data.If you are planning to use OID and authenticate using client credentials flow, you will need a client secret from the app registration on the Azure Active Directory. Go to Open Industrial Data and you will observe there is a widget for generating a new client secret IDIn the drop down, you can select two options:Other: Use this if you are using Postman or Python SDK Javascript: Select this option if your app is in JavascriptOnce you click on Create client secret, this will be display just once. Make sure to save it somewhere safe.Let me know if you have any questions 🙂

vidhi.c.jainCommitted

Product User Community

Facing issue while writing test cases using monkey_cognite_patch.

Hi Team, We are working on a POC , where we need to create unit test cases where we are facing different issues .For reference we are using code from Cognite HubBelow attaching our code and output expectations .Please help with the approach to resolve this issue ts_retrieved = [ TimeSeries( id= 3973245479016710, external_id= "Brazil:3W:Well-Bore-19B_target_throughput", name= "Brazil:3W:Well-Bore-19B_target_throughput", is_string= False, metadata= {}, unit= "Barrel", asset_id= 3332326574821917, is_step= False, description= "target volume for a oil well bore", security_categories= [], data_set_id= 8739280581150161, created_time= "2023-05-02 09:37:04.944000", last_updated_time= "2023-05-02 09:37:04.944000")]@pytest.fixturedef cognite_client_mock(): with monkeypatch_cognite_client() as client: client.assets.retrieve().time_series().get().return_value = ts_retrieved return client Method code ts_data = c.assets.retrieve(

tibor.vanczaCommitted

Product User Community

Streamlit - Async tasks problem

Currently Cognite’s Streamlit apps have issues with for example:with st.spinner('Wait for it...'): time.sleep(5)st.success('Done!')The code itself should wait 5 seconds before writing out Done!, but is executed instantly. Another example is when you try to make your application responsive while waiting for some data to arrive from a remote location. For example, when you want to print out a wait message for the user because sometimes it takes some seconds to load the data, but the app doesn't work as intended. In the following example I am trying to print out a message while waiting for the function to finish, but it fails:call_func_button = st.button("Call function with current parameters", key="button_func_call")if call_func_button: func_call = example_function.call(data=input_data, wait=False) st.info("Waiting for function...") while func_call.status == "Running": func_call.update() if func_call.status == "Failed": st.error("Function failed to run!")

Oussama ALLALICommitted

Product User Community

How does the mapping functionality perform joins under hood ?

Hello Team,I have a modeling question.We want to add some well information to all object types in our knowledge graph. At the same time, we don't want to create a link from the objects to the well.So, to avoid data duplication and updating these pieces of information, I thought about using the mapping functionality.For example, I have a casing object with two attributes: name and diameter. And I added a name_well attribute using the mapping functionality, which, as I understand, under the hood, performs a join.type Well { name: String}type Casing { name: String name_well: String @mapping(container: "Well", property: "name") diameter: Float32}Well transformation:select wh.IDWELL as externalId, wh.WELLNAME as namefrom well-data as whCasing transformationselect cas.IDCASING AS externalId, cas.NAME AS name, cas.DIAMETER as diameter, wh.WELLNAME as name_wellfrom casing-data as cas join well-data as wh on cas.IDWELL == cas.IDWELLWhat I don’t understand is how exactly this join i

Aleksander PoverudCommitted

Incorrect 3D model default rotation in Infield 2.0

Hi, We experience that for one of our root assets the 3D model default position displays in infield 2.0, however when clicking open, the 3D model opens in a different position and rotates along the wrong axis. The same issue is occurring in CDF. I see on Slack a ticket was opened, what is the ETA on this? Regards,AleksanderAkerbp Data Delivery

fabioterasakaCommitted

Academy Discussions

Implement hourly totalizer in Charts

Let’s say I have a time series with the behavior seen above. This is a tag that represents the water consumption in my house (it’s a hypothetical). Occasionally I manually reset the sensor measuring it and it goes back to zero as you can see in the curve, but otherwise this sensor works more or less like your water meter: it measures the total volume of water consumed since the beginning of times until the meter reaches 999,999 and it resets itself to 000,000 automatically How do I implement a scheduled calculation in Charts that will compute the hourly water consumption at my house? I want to start calculating this at 00:30:00 of today, and the calc should run every hour after that (i.e. 01:30:00, 02:30:00, 03:30:00, 04:30:00, etc indefinitely) Thanks.

Gargi BhosaleCommitted

Product User Community

Proper query for accessing reverse direct relation

Hello team, We have tried to query Entity view which has a property properties of type view Property which is a reverse direct relation.We are using the query endpoint and the instances.query() sdk method to do so.We want the details of properties to come in the select object of Entity. Providing the query below:{ "with": { "0": { "limit": 50, "nodes": { "filter": { "and": [ { "matchAll": {} }, { "hasData": [ { "type": "view", "space": "slb-pdm-dm-governed", "externalId": "Entity", "version": "1_7" } ] }, { "or": [ { "equals": { "property": [

AbdulmonimSeasoned

Product User Community

memory allocation issue when deploying huggingface model function

I have created a function that was configured to 5G of memory and 2 CPUs to run huggingface AI model (py311). Deploying the function went fine. However, when running the function it throws this error. RuntimeError: [enforce fail at alloc_cpu.cpp:118] err == 0. DefaultCPUAllocator: can't allocate memory: you tried to allocate 9437184 bytes. Error code 12 (Cannot allocate memory)

Product User Community

Enhancing Asset Data Quality: Automating P&ID Tag Extraction

We are working on making our contextualization efforts more efficient. One of our key initiatives is to extract all tags from P&IDs to build a clean dataset that we can then match against asset hierarchies, helping us identify gaps on both sides. Additionally, we aim to minimize the need to revisit P&IDs whenever new patterns emerge that don’t align with the current contextualization process.For our initial approach, we tested extracting all tags from P&IDs to create a comprehensive list. We are aware that Cognite provides an API feature to extract tags based on predefined entity patterns. However, we are looking for a solution that allows us to extract all tags—without requiring predefined patterns.We have tested multimodal LLMs for this purpose, and they have shown promising results. Our questions are:Does Cognite offer any built-in functionality that supports extracting all tags from P&IDs without predefined patterns? If not, is there a cost-efficient approach to ach

Vipul GuptaActive

Developer Community

Error while setting up environment for "Extractor-utils Library for Cognite Python SDK"

first of all i created a new environment with below codes.python -m venv envenv\scripts\activatepip install poetry poetry config virtualenvs.in-project truepip install pandas numpypip install cognite-sdkpip install "cognite-sdk[pandas, geo]"pip install cognite-extractor-manageronce all above code completed. I started running cogex init.I am getting below error.cogex initEnter extractor name: csv extractorEnter description: descEnter author: --I provided the cognite login mail id in name <mail id>Which template should be loaded? simple: loads a generic template suitable for most source systems, using a simple function as the main entrypoint for the extractor. Most suitable for small and simple extractors. class: loads a generic template suitable for most source systems, using a run method on a class as the main entrypoint for the extractor. Most suitable for slightly bigger and more complicated extractors. rest: loads a template for extrac

Angad SinghActive

Product User Community

Alerts & Monitoring: CDF Charts

I noticed a few misses / potential improvements in the alerts & monitoring section of Cognite charts - Was wondering if anybody else had similar experiences?Email alerts always come in UTC (Considering we are based out of India, we may miss important alerts because of this). Let's say I have an Asset where I have generated a chart (in our case a particular well from a particular lift type showing critical parameters). A filter-based option where I can just switch Wells showing - using the same parameters as tagged before.

Adnan MujkicCommitted

Product User Community

Data modeling transformations

hello guys, I wonder how do you populate data model directly from the dataset? so i have ingested all my timeseries data into my dataset and then i want to run transformations using this dataset as a source but how do i get the actual values from the data points and can you filter just to extract certain timeseries data? this is the query i am running at the moment: select cast(`externalId` as STRING) as externalId, cast(`name` as STRING) as name, cast(`description` as STRING) as descriptionfrom `_cdf`.`timeseries`; what i want really is to import all my timeseries data from my dataset into my data model and then continue building.

Cameron DuffyActive

Open Industrial Data

Licensing Terms and Conditions - Open Industrial Data

What are the licensing terms and conditions for using Cognite's Open Industrial Data? Could you please provide a link to these terms and conditions?Thank you.

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