Community Discussions

Hello, I would like to know what is the best way to plot two variables in a XxY chart instead of stacking them. For example: I have “variable A” and I want it on Y axis and “variable B” on X axis instead of timestamp. Is it possible to do it using Charts, Canvas or should I do it on Power BI? 

Is there a tool for planning an schedulling  scaffolds ?

Hi Team,I am trying to login into Cognite Support Portal (https://cognite.zendesk.com/hc/en-us/requests/). I am not able to enable MFA for my account using Microsoft Authenticator. Please help me with the steps to do this.I am getting below window while trying to login, but not getting any code on my mobile Authenticator app. 

Is there any way to send data to cdf from blob storage using azure data factory?

I am trying to register for Cognite Data Engineer course but not able to do that because it is asking me to purchase that course with credits. Can you please help me on how to get that credits?

Hi Team,It would be a good use case to add sequences and SimInt outputs to be added to Canvas since well logs are stored as a sequence in cdf.Also, SimInt outputs are stored as time series outputs. It could be useful to include these as well.Thanks,Akash

 Check out our new comprehensive course on Cognite Data Modeling which is a new addition to the Data Engineer Basics - Transform and Contextualize learning path.In this course, you will learn fundamental concepts, practical applications, and advanced techniques for effectively organizing, querying, and managing industrial data. Whether you're new to data modeling or looking to deepen your understanding, this course will equip you with the knowledge and skills to harness the power of data modeling in Cognite Data Fusion (CDF).Key Concepts:The course covers essential concepts of Data Modeling, such as Data Models, Spaces, Containers, Views, and Instances, as well as its public REST and GraphQL APIs.For a limited time, you can access this course for free. Use the code datamodel-qzb8pin9ukz2w upon registration to the Data Engineer Basics - Transform and Contextualize learning path until 31 March 2024. You can also access five additional courses in the learning path, along with the exam to

Hello everyone.I have a use case that I have been trying to figure and I'm hoping you could help me.We have an equipment, let's say a pump, and we have a timeseries for its flow. We consider that the pump is operating as long as the flow is above a threshold.In PI, if I want to know how long the pump was operating, I can simply use PITimeFilterVal function in Excel to retrieve the amount of time that the timeseries was above the threshold. Me and my team have been trying to do this with Cognite, with no success. We tried transforming the timeseries to a 0 or 1 using the “Threshold” function, and then integrating it, but we have faced some limitations due to the approximations that are intrinsic to the integration function.Unfortunately, I cannot show you the actual data, be we checked a few days where the pump starts the day operating - at 00:00 - and at 2 am our integration gives us a value of 1.84h - when it should be as close as 2h as possible. This difference, even though slight, i

Hi guys, Could you please help me find out why it still shows empty time series even though I have insert data points? I am able to list the data points in “my_ts1” time series with API but I can’t view them in chart.How can I view the time series data in chart? Thanks a lot!

Hi all!Data Workflows (re-named) is now in Public Beta, as part of the latest release of Cognite Data Fusion. See the Product Release Spotlight post for more information.We have also added a new feature for subworkflows which you can read more about here.You can find updated documentation at Cognite Docs and Cognite API spec, replacing all earlier versions. Note that the user interface in Fusion remains in Alpha pending the development of a new version. If you lack access to the user interface, get in touch with a Cognite representative or leave a comment below.Let us know if you have any questions or comments!

Hello group members, “If you were to use CDF as an Industrial Historian, what features relating to versioning, tracking of changes and auditing would you need from our Time Series API”.In an upcoming release, we are planning to introduce support for versioning on Time Series, with the intention to enable our Time Series service to be used in the same way as you would a traditional industrial Historian.I am keen to gather information and insights from you to understand the scenarios where such a capability is required, in order that we build the right thing.  Please feel free to send me a direct message if this is of interest to you!Kind Regards, Glen

Dear Community,How do we transform or create transformation of SQL Table data with some time series values in to Timeseries Tags In CDF?Sample Data:index   datetime                   CO2      H2O                                                         0   2019-05-07 01:00:00+00:00     50.5     25.0 1   2019-05-07 02:00:00+00:00     55.0     27.7  All we need is 2 tags CO2 & H2O with 2 data points (TS) in a dataset. I can run each tag under separate transformation.Please help with SQL query to do in Transformation .

If you are one of those, who either have a big vision of maintenance transformation or are working on optimizing one part of the maintenance management process, here is a suggestion on how to optimize to meet ambitious OPEX reduction goals while building sustainable and integrated Maintenance management processes. My name is Aleksandra, and I am a maintenance domain expert in Cognite. Together with my colleagues, we have a mission to empower the maintenance ecosystem with the data and technology so maintenance professionals can efficiently optimize and transform their underlying and fundamental maintenance management processes. Here are some tips on building with the end in mind and avoiding optimization in silos. Optimize using data from multiple systemsMany companies these days are busy with the optimization of their maintenance strategy for equipment and moving it from calendar to condition-based maintenance (CBM), where possible. One way of doing it is to use a centralized conditio

Hello everyone,I created a calculated timeseries based on an existing one and everything went well, except that the calculated timeseries does not have a linked asset. As a result, when I am looking at the asset on data fusion this calculation does not show up. Did I miss something? Is there a way to link this calculated time series to the asset that I want?Thank you. 

Hello, I am working at HubOcean as a backend engineer and I need to access the logs for the API calls we make to CDF. Is there are procedure we can follow to get the logs?

Can Cognite Write back to the controller? Or in other words, is it just an open loop solution or can be integrated to work as closed loop system ?

Hi.It would be useful to access metadata from time series in Grafana. Some of our time series contain simple integers 0, 1, 2..,  and the meaning of each value is a string described in a metadata field set on the time series. Could this functionality be added to the CDF Grafana data source? Or is there a way to access this information in Grafana through another Grafana plugin? I see that there is a CDF PostgreSQL gateway, but its documentation says that it’s only for writing data to CDF, so assume this cannot be used for fetching timeseries metadata through the Grafana PostgreSQL data source?  

Hi Experts, Few queries: Can I create a ML model directly using CDF functions? - I believe we can. If yes, how can I retrain a model without using any external AI platform? Can I use workflow orchestration to retrain a model with new data? Thanks,Aditya

Hello everyone in the group!I’m delighted to announce that in the upcoming release, the Time Series Subscriptions feature will mature to a Generally Available level of maturity.  But…!  The feedback does not stop there.  Please do continue to use this group to ask questions about the feature, request improvements or provide any other form of feedback.In light of the news, I also feel that this group in its current form has served its purpose.  However, we would like the group to continue as we appreciated your engagement on our product developments.  Therefore, we would like to repurpose this group to cover more topics and features relating to the Time Series API, and our other OT services too, such as Events.We hope you continue to be members of the group, and look forward to collaborating with you with our future developments, and thank you so much for your contributions in bringing the Subscriptions feature to GA! 

There’s an issue if you create a label and delete it as you might not be able to reuse the same external_id ever again. Even if you first delete the asset or relationship that the label is conected to first and then delete the label, you end up with a ghost label. With some random exceptions(say in 1 of 15 cases it’s not an issue). It feels like a cache issue, but as we’ve seen over the last half a year or so, the issue seems to persists over several months.For this example I’m using an empty dataset, I’ve created a label, tied it to an asset, deleted the asset and then deleted the label. The external id I’ve used for my label are now locked forever. I then try to create the label, if not found: Resulting in an error This is a bug across the C# and the Python SDK.

I want to move data from CDF Raw Database in Dev and Load it to CDF Prod.Could someone please let me know if there is a way in Cognite. 

Hi Team, I want to change the message for the custom extractor’s run history message by python sdk. Right now, message says “successful shutdown” after successfully running the extractor, but I want to change it with how many datapoints are uploading and in how much time.I tried to do it by following methods:By using abstract class Extractor in our code to overwrite the _report_success method’s message.       2.By using this method  cognite.extractorutils.util.add_extraction_pipeline(extraction_pipeline_ext_id: str, cognite_client: CogniteClient, heartbeat_waiting_time: int = 600, added_message: str = '')       3. By using below class too:cclient.data_classes.extractionpipelines.ExtractionPipeline(id: int | None = None, external_id: str | None = None, last_message: str | None = None)  There is no way of passing the custom message here in my knowledge if it’s there let me know!And is there any way to pass logs in extraction pipeline?

How can we use hybrid configs (local and remote) in custom extractor utils?Edit: while trying to consume combination of local and remote configs (published in extraction pipeline mentioned in local config), it just loads local configs. example configs:type: localcognite:    extraction_pipeline:        external_id: extraction-pipeline-idcustom:    property1: some-valuetype: remotecustom:    property2: some-value 

Does Cognite copies all data from data sources to staging area?If yes, is there any limitation of datapoints/ size of data? Does size of data, affects the performance of CDF or any other functionalities? 

I have Cognite functions that are being reused, but I need to define correct inputs.Today I have scheduled jobs that run for each function/input and they depend on one another to run. I arbitrarily set 30min difference from the schedule for hopefully one start when the other finished. But I’m already seeing problems with timeouts, so I may need to break the functions in smaller steps so they can finish on time, but I won’t be able to hope the schedule match as this will be much more complicated than my current scenario.Today, while looking at the workflow I notice that I cannot pass a input for each function thru the UI. Is that intentional? Is there another way to reuse functions using workflow?