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Is there a way to query FDM either using sdk or rest APIs? Is there any documentation or examples available?

HI,After completing the 5 training of “Working with Cognite InField”, the Assessment is not activated. How can I have access to the assessment?Thanks in advanceGustavo

I have tried to access InField using the link indicated in the learning path “Introduction to InField” but it returns and indication of “Page not found” The link used is: https://learn.cognite.com/path/working-with-cognite-infield/overview-of-infield/infield.cogniteapp.com Is there any update on this topic so it is possible to follow the training?Thanks in advanceGustavo

how to get admin approval for asset Data insight and grafana for publicdata project ?I am doing my Cognite academy training.

Hi,I have data in raw table in this format:Table1:id p1 p2 p3 1 2.0 3.0 4.0 2 10.0 15.0 20.0  I wanted to transform this details into following format through transformation id property value 1 p1 2.0 1 p2 3.0 1 p3 4.0 2 p1 10.0 2 p2 15.0 2 p3 20.0   so I have written following transformation query:SELECT id, property, valueFROM `db1`.`Table1`UNPIVOT (value FOR property IN (p1, p2,p3)) UP This query works in SQL studio, but in COGNITE transformation UI , I see below error:Mismatched input 'FOR' expecting {')', ',', '-'}(line 3, pos 15) Can you please help to understand what is missing in this?  

I have a set of work orders with the following schema along with sample data for two assets (10010234, 10010235){Equipment        Work Order #       Order Type          Start Date       Start Time        End Date          End Time         Cost}10010234 110025063 Unplanned 7/6/2018 11:31:15 7/6/2018 23:00:00 35,600 10010234 110026082 Planned 8/25/2018 12:27:15 8/27/2018 23:44:00 37,180 10010234 110027101 Unplanned 12/8/2018 13:30:15 12/8/2018 17:00:00 26,580 10010234 110028120 Unplanned 1/27/2019 14:40:15 1/29/2019 1:45:00 38,900 10010235 110023050 Planned 3/1/2018 15:57:15 3/2/2018 3:02:00 25,000 10010235 110024617 Planned 6/14/2018 17:21:15 6/16/2018 4:30:00 30,000 10010235 110026184 Planned 9/27/2018 0:25:00 9/27/2018 6:09:00 24,600 10010235 110027751 Unplanned 1/10/2019 20:30:15 1/12/2019 7:59:00 35,600 Equipment is stored as assets and the work orders are stored a

I'm sorry, I'm new to cognite and don't quite understand the basics. FDM is one specific model with data? And if I need several models (I mean models filled with data) with the same schema, then I need to create several FDMs and then transform the data into them?

We are looking for OID and/or subset of Bootcamp data to be loaded and available in our project Cognite environment for further exploration. Can you please create a support ticket for the same?

How can I execute two or more different queries extracting the data from the source and inserting the data in the same CDF RAW table?Currently only the last query available in the config.yaml file gets executed. 

Do Cognite OData APIs also offer have cursor implementation like cursor capabilities on REST endpoints?

Hi! I would like to check if a time series stays within a region for more than a certain amount of time. Is this possible? This would be the equivalent of inverting the “Upper lower threshold” function. Also I would need a time limit for that. Perhaps it would be a simple yet powerful addition to the existing functionality: To be able to invert the monitoring task? Some of the monitoring tasks have a time aspect, and some do not.. perhaps all should have it?  Regards  

Has anyone configured the extractor to use Visual Studio Code? I need a step by step guide.

Is it possible to configure in Cognite tools (like CDF & Cognite Infield) to send an email with the information on the user (to designate admin(s)), when a user trying to access the tools is restricted access to those tools, for not being part of the right security groups? Question posted on behalf of Celanese user access administrator.

We are fetching quite a lot of data from CDF, both raw and aggregated, and we have experienced error messages from Postman and Java requests when the aggregated number of datapoints are exceeding the limit (10.000), but we have yet to experience this for the Cognite Python SDK for raw data (limit 100.000). Is there an error message implemented for this intention? From the code in the SDK in GitHub it appears that if the data is exceeding the limit then it would return an empty list, which is a very dangerous return setting. Best regardsOliver

It has been observed that while transforming data from CDF datapoints table, if the datapoint has a timestamp value with year below or equal 1970, the timestamp value is shown as null. How do we deal with this issue?

I am attempting to run the python file associated with the Data Modeling hands-on lab (https://colab.research.google.com/drive/11NdrGUzFhbwsOlKqXVfYRqu9s1DzAw4b?usp=sharing). I am receiving the same error every time the ‘plot’ function is called: “TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type”. After some debugging, the data seems to be in a dataframe data type. I suspect there is some version discrepancy between numpy and pandas, has anyone else seen this error? Thank you, Adam

Once we have created the Timeseries, is it possible to change the isString value to be True?

Hi, In my endeavor to make a percentwise threshold in Charts: I.e. how many percent of the last week was a time series above a certain value, I stumbled on what I think is a bug.I need to divide the time the timeseries is above a threshold by the total duration of the time window. I therefore tried the “constant value”-function, and set it to one. The default granularity is then at 7 days. I can change the granularity to 1 day as in the screenshot below:  However, when I change the granularity below this. Eg. 1 hour, I get the following warning: Ideally I want it to 1m or something like that, so that I have sufficient granularity to measure percentage above threshold over  the course of a day.Any suggestions as to how I can fix this, or an alternative way to reach my goal?Thank you

Hands on with Data Science > Data Processing and Exploratory Data Analysis > Google Colab notebook called Data processing and analysis for IDA course.ipynb has issues in the Setup code block.  Here is partial output log:...Installing collected packages: PyJWT, protobuf, cryptography, msal, cognite-sdk Attempting uninstall: protobuf Found existing installation: protobuf 3.19.6 Uninstalling protobuf-3.19.6: Successfully uninstalled protobuf-3.19.6 ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. tensorflow 2.9.2 requires protobuf<3.20,>=3.9.2, but you have protobuf 4.21.12 which is incompatible. tensorflow-metadata 1.12.0 requires protobuf<4,>=3.13, but you have protobuf 4.21.12 which is incompatible. tensorboard 2.9.1 requires protobuf<3.20,>=3.9.2, but you have protobuf 4.21.12 which is incompatible. Successfully installed PyJWT-2.6.0 cog

Hello @Kristoffer Knudsen @ibrahim.alsyed  would like to know if Cognite InField would work ok for demo purposes on a giant smartphone (android  55’’)Celanese is planning to demo this to 100 people using something like this https://www.giantitab.com/ cc: @MortenNesvik @Kriti Dhaubhadel @Philippe Bettler @piya dey @Ajo 

We may have many clients with small userbase. What is the suggested deployment model for these clients from below options:As all the CDF projects are isolated, should we as a single Cognite tenant create different projects for different clients. We should provision separate Cognite tenant for each client keeping future creation of multiple CDF projects over time. 

As a Cognite tenant we can have multiple CDF projects. Some CDF projects may have large user base in comparison to others. Do we need to worry about Cognite WebAPI request handling capacity.

Can we get usage cost per CDF project.

Is there any difference between Cognite WebAPI vs Cognite Python SDK in terms of response time and data transfer limit.

In bootcamp documentation there were some guiding principles:https://docs-bootcamp.app.cogniteapp.com/content/chapter_0/#the-ice-cream-factory-dataOne of them was for Cognite functions:Cognite Functions for running and scheduling simple and short workloads in Python (< 10 min. execution time)Can we use Cognite functions for long running and scheduling workloads typically of duration 10-12 hours.