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Hello, I am going through Cognite Data Fusion Fundamentals and am having an issue that I cant figure out. After multiple attempts I am loading 1 row of data to try and figure out my issue.I make it to the “Preview the Transformation” step: The next step is to “Run the Transformation” step and this is where I am running into an issue. I get the below error message and theres no suggestion on what to do to correct my apparent error. Any idea what to do or how to progress? I just want to finish this course. -George
I have cloned the following in my local DEV folder.using-cognite-python-sdk.gitI have also installed the dependencies that are defined in the pyproject.toml in the repo.To run the code in jupyter notebooks. (Note: Change the "Kernel" to use the virtual environment created by poetry.) and add new libraries as needed. How do I change the Kernel in jupyter notebook to the one created by poetry? When I open the jupyter notebook from the repo folder, it shows the general python3 (ipykernel) but this was present even before I installed poetry. So how do I change the kernel in my notebook. Please advise.
Hi everyone, I tried to upload my own dataset(time-series data) into CDF, but I always get error: Request with id 87b235ea-78dd-963a-b343-ff58a0ee084d to https://westeurope-1.cognitedata.com/api/v1/projects/learn/timeseries/data failed with status 400: Timestamp is too high, must be at most 2556143999999 which is 31-12-2050 23:59:59 GMT.I followed with this link:https://learn.cognite.com/path/cognite-data-fusion-fundamentals/working-with-cdf-integrate. I created an assest, 3 time-series. What I want to do is to upload my data to the 3 time-series, and show the variation of my data in CDF. I change the time_stamp of my data into the format of 2022-02-10T17:00:00.000Z, I am not sure if this is necessary but when I preview my datapoints in RAW explorer and CDF automatically change the this format into for example, 164998440000, so I am wondering if this is why I have this error? I also want to ask what is the meaning of span in IFSDB.sensors? It means this time-series is 100 days? or 100
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