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Hi Team,Have completed the Learning Path CDF: Integrate, but it wasn’t reflecting as completed even though it was showing 100% completed. It was blocking me to move forward for next Lesson Working with CDF: Contextualize.Please help with this… (attaching the snapshots of completion and error)-Pavan

Hello,I’m facing following error while creating an asset in Hands-On:CogniteAPIError: Resource not found. This may also be due to insufficient access rights. | code: 403 | X-Request-ID: d75b2c0d-f96b-9efc-8dbc-6aef50e25dff The API Failed to process some items.But able to read data and create a dataset.Please kindly advise.Regards,Asan

How to create IFSDB in events?

I have created a Flexible Data Model and now want to populate it from my source data. I have switched to the Mapping editor and am choosing my source data:The data I want to use is in a dataset linked to a pipeline and is not in the Staging area. How can I get the data from my dataset into my model?

Since the backwards pagination is not supported and hasPreviosPage will remain false always. We are displaying page numbers and clicking on a number will fetch respective data. This is working fine when moving forward (next)We need solution for moving backwards in sequence or jumping to a certain page. Please suggest... 

Is there any way to define schedule for custom db extractor (based on cognite-extractor-utils)  alike default extractor. 

I have to do complex calculations and store the resulting data in the form of data frames (tabular form of data structure). The only way I see is to use the ‘sequences’ in CDF resource types. But I think CDF sequences doesn't allow to do data wrangling as we can do in pandas data frames. So, I wish to know if there is any best way to accomplish the storage of tabular data structures like data frames / arrays like what we can usually do in core Python. Basically, I wish to store data in structures like we typically have in core Python. Lists, Dataframes , arrays etc.  Any structure available in CDF?

Hi, what is required as access rights to be able to uplad a function ?  

Hi Team,In GraphQL there is no (known) option to filter null values of FDM View’s direct properties which refer to another view(s).For example: Consider the snapshot of the views.Here if we want to filter all MyTypeWrapper instances which has ‘myType’ property as null.How could it be achieved using GraphQL?-Mohit

I am unable to complete and proceed further, as  the below mentioned course as it is showing as  “Registered” even after completion Please give the solution even after clearing my system cache and tried in other browser as well https://learn.cognite.com/path/data-engineer-basics-transform-and-contextualize/match-entities-concept-and-ui  

Hi,I’m following the Domain Expert Fundamentals course, and in one of the hands-on activities, there’s a request to find a specific timeseries. However, such timeseries can’t be found or i’m unable to find it.Could you please check whether the timeseries ID is still valid and/or if the course should be updated?Thanks.  

Hi there!I have a usecase where a file is uploaded by a user to an API. The API then uploads the file to CDF Files. We want to avoid having to have the full file in memory at the same time, and therefore must stream the file contents from the request handler directly into CDF Files.There are two ways of achieving this:Stream the request body from the request handler directly into CDF Files’ upload URL Chunk the request body and upload each chunk as separate requests.The first option may be achievable, but I don’t believe the second option is possible.Do you have any insight whether it is possible to chunk a file upload like this in CDF Files?

Hi Team, I’ve imported the Cognite API in Postman. While Getting new access token, facing the following error.Any suggestions? 

Hi, We like to use Cognite AIR in one of our project .We got to know that it is getting decommissioned by end of 2023.Kindly confirm on that whether we should explore AIR now or we should not as it will not be available after this year. Thanks,  

I am trying to run a code to fetch timeseries based on some tags available in a project. While I execute the same code using jupyter notebooks in CDF online-notebook feature, the code runs fine. When I am trying to run the same code script in local after setting up connectivity using interactive-login and then when I run the timeseries retrieve code, I am getting an error. Please help.Code:from datetime import datetime, timezoneutc = timezone.utcpi= client.time_series.data.retrieve_dataframe(external_id=['pi:2FC1898.DACA.PV','pi:2TC1066.DACA.PV','pi:LAB_133-X013_APIGRAVOB','pi:2FC1898.PIDA.OP'], start=datetime(2023, 1, 1, tzinfo=utc), end=datetime(2023, 5, 1, tzinfo=utc), aggregates=["average"], granularity="1d")  Error- Traceback:---------------------------------------------------------------------------AttributeError Traceback (most recent call last)Cell In [9], line 5 1 from d

Hi, when I create a function that imports pandas I get  ModuleNotFoundError: No module named 'pandas'I expected that the function was hosted in a pre-configured runtime environment with many commonly used libraries already installed, including pandas.Any idea what I am doing wrong?

Hello! I have 3 quick questions that come to mind:From your perspective, what is the 1 sentence value statement of CDF?How can we justify all the manual work required to prepare the data to ingest into the platform?How do our customers save money by using CDF?

Hi ,  I’m trying to deploy an Azure function on Azure function app. But when I Included Cognite related libraries which I need to read and write data to Cognite data model. It was not working  even though I mentioned to include cognite in requirments.txt still not working. Has anybody else faced same issue ? Have you use azure function to connect to cognite (not the cognite functions)/

Hello I noticed that data type for table import thru CSV file is by default as string, how can I change it to other data type like boolean, array and etc?  Regards

We are using the online version of the Jupyter notebook from CDF portal for a client project - DEV and able to get the clientconfig/ client object and create and retrieve assets, run transformations, create datasets etc. Client IT team has created an app and registered in Azure and also shared the tenant ID, Client ID / name and secrets as well. When we use these parameters shared for this app and run the same code locally in a notebook, it is not able to perform certain tasks (such as data set creation etc.). Basically, the online version has all the IAM groups as {data engineer, data scientist Data Analyst, OIDC-Admin.}But when we set the configuration parameters client-ID, Tenant and secrets etc., we don't get the groups entirely as above but only comes as “Data Integration”.  This “Data-integration” has limited scope and doesn't allow to create datasets etc.  So how do we understand this part of roles and access management in CDF construct and applications registered in Azure AD? 

I have a time series data identified with TAGS and that can contain around 1500 to 5000+ records generated per day. I would have to perform a time weighted average and calculate the time-weighted value for the time-series data for the given times. How do I proceed to recreate the computation in Cognite since I got the PI data already sitting within CDF. Basically, got to recreate this function of OSI PI inside CDFPIAdvCalcDat(tagname, stime, etime, interval, mode, calcbasis, minpctgood, cfactor, outcode, PIServer) 

Hi team, In Hess team came up with one request from Documentum Extractor, please refer below context for the request. Currently we have Cognite connected to Documentum via the raw folder, which pulls in the raw file format from EDMS. We actually need to connect to Documentum's rendition folder where the PDF versions of all the files are saved. Cognite can only effectively contextualize PDF's, so we need to connect to the render folder directly. We contacted the documentum team, however they've said that only people on the Documentum team can connect to that folder. We just need the Cognite extractor to have access to that Rendition repository. Please let me know if you need more information. project - hess-dev, hess-us

I have a lot of timeseries objects in CDF datasets. I have a particular set of timeseries tags out of the innumerable list of timeseries objects (16 of them) and for each tag, there are a bunch of sub-tags (4 of them). So, in total, I will need to maintain a hierarchy of 16 tags and each having 4 tags and the overall total of 64 tags. I need to go and retrieve the datapoints for each of those 64 tags. So how do I store my desired list of timeseries tags along with their child tags within CDF. Where do I store them and maintain them. This list may be edited and needs flexibility to be edited based on business users need. IT is completely the enterprise choice.  Please share complete steps simulate them in CDF. This is actually to be done for yield-tracking analytics and all these tags corresponding to the yield groups/products in a refinery.  

I have csv files with asset information, asset hierarchy, time series objects and timeseries datapoints. I would like to load these to CDF and link to a dataset. Could someone walk me through this or refer me to some help files? 

i need support for the course Python SDK Transformations.Im running the comands from notebook that was given in git and a stoped on:result = client.transformations.run(asset_transformation.id, wait=False)The error resulted is :CogniteAPIError: Invalid source/destination credentials: Could not authenticate with the OIDC credentials. Please check your credentials. | code: 403 | X-Request-ID: 78e0e54a-a3ca-9bc4-b2f5-e303ed6a7207iv checked the authentication process and i can perform all task like search list add datasets assets and everything but i cant run the transformation.Any one knows how to solve it ?i have the same problen in the UI