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I might need to create 100,000s - 1,000,000 of individual timeseries. I would like to understand if the number of timeseries impacts the API performance. e.g. retrieving data points for 1 of the timeseries. Would the API response be similar if I had 100 or 1 million timeseries?Also is there a maximum number of timeseries that can be created per CDF project?
Hi.Would it be possible to change the name format of the CSV file downloaded from cognite charts? The colon in “New chart 2023-02-22 15:43:59 (timeseries).csv” makes it difficult to unzip the file on Windows.
While using cognite-sdk-dotnet, it needs API key whereas I have client-id and secret with me. How can I get the API key for the same? Or there is some alternative way to work with client-id and secret.
I am trying new FDM APIs. In POST endpoints I am facing issue “Missing body for POST request”Am I missing some parameters? I am using POST body as per documentation
Is there documentation for the import calculation json in Charts?
Digitalization PoCs are commonplace. Real return on investment (ROI) isn’t.So how do investments in digital transformation efforts translate into real value for your business (or company)?We, at Cognite, commissioned a study from Forrester Consulting to examine the potential ROI and business benefits asset-heavy industrial organizations can expect from deploying Cognite Data Fusion. Forrester interviewed six representative customers across our customer base in Oil and Gas, Manufacturing, and Power & Cleantech with experience using Cognite Data Fusion, and found $21.6 million in added net present value at a 400% ROI. Key results of the ROI study include:* $9 million gained through the optimization of heavy machinery and industrial processes* $5.1 million saved through optimized energy use and reduced operational costs* $4.8 million added value through reduced shutdown time* $4.3 million cost reduction by optimizing planned maintenance Do you want to know what stands behind these nu
I have set up both the environment variables SOURCE_CLIENT_SECRET (Note that the Client secret is generated from the OID widget as per the documentation)and DEST_CLIENT_SECRET and running the replicator with the config file using option 5.I am getting error as per below logAMAC02Z3123LVCJ:oid-replicator j.subhash.parandekar$ poetry run python3 ./oid_replicator/replicate.py 2023-02-17 18:46:48,239 root INFO - Config file - Repeat line 5: 2023-02-17 18:46:48,239 root INFO - Config file - Repeat line 14: 2023-02-17 18:46:48,239 root INFO - Config file - Repeat line 23: Starting replication of resourcesReplicating assets...Traceback (most recent call last): File "/Users/j.subhash.parandekar/Library/Caches/pypoetry/virtualenvs/oid-replicator-cwaK-6ym-py3.11/lib/python3.11/site-packages/cognite/client/credentials.py", line 364, in _refresh_access_token token_result = self.__oauth.fetch_token( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/j.subhash.parandekar/Library/Caches/py
Using transformations to create/update data can be cumbersome especially for complex FDM models. I understand there are plans to generate APIs from models, but are there any alternatives in the short term, such as implementing GraphQL mutations? Are the APIs used by transformations internal to CDF?
I am running the notebook for my own Cognite project as per the example https://github.com/cognitedata/dshub-tutorials/blob/master/advanced/Comparing%20Entity%20Matching%20models%20with%20SDK%20demo.ipynbI am getting below error ModelFailedException: EntityMatchingModel 3531921825900910 failed with error 'JobFailedException: AttributeError('TfidfVectorizer' object has no attribute 'get_feature_names')' at line results = model.predict(sources=time_series_test, targets=assets).result
Hi All, I am getting error while importing CogniteClient from cognite.experimental.Please refer the below screenshot of the error.
I’m experimenting with filter nodes https://pr-ark-codegen-1646.specs.preview.cogniteapp.com/v1.json.html#tag/Instances-(New)/operation/advancedListInstance using a payload like:{ "includeTyping": false, "sources": [ { "source": { "type": "view", "space": "jca-domain", "externalId": "Facility", "version": "0_3" } } ], "instanceType": "view"}It seems to return entities not of the type of the given source (Facility/0_3). For example it returns Equipment/0_3 entities. Is this the expected behavior and do I have to separately filter for view type? If so how do I do that? Thanks.
We planned to Download 3d files from CDF - fundamentals through API , However I can able to find correct API for this. Can anyone explain which api will for work this scenario and what is the concept of asset when models addition.
Hi Digitalization Community!As we grow we're constantly looking to improve our community, and one of the changes you might notice is your new level badge. You can read more about it below 🏅
Cognite Asset Performance Management addresses common business problems faced in the asset-heavy industry, such as aging assets and workforce, increasing maintenance costs, and unplanned downtime. A challenge to close the improvement loopSolving the current business problems spans three main business processes; reliability, maintenance, and operations, forming an industrial improvement loop. However, it’s challenging to close this improvement loop due to siloed architectures, siloed tools, and manually orchestrated processes where often excel and paper-based knowledge gets stuck. Cognite aims to systematically bring these industrial processes together to create a dynamic and optimized asset performance management process that keeps improving. Unlock your tribal knowledge to complete the APM data catalogueCognite Data Fusion (CDF) ties together unstructured and structured data to make a complete APM data catalog. However, CDF can only do this in conjunction with applications anchored
Hi, please help me to clarify on the below details as our SLB team is aiming to setup a project with CDF to do some features,Sandbox tenant for SLB How to connect to production data Embed Python preprocessing script into the Cognite pipeline
Hi, I am trying to transform data from Raw to timeseries in CDF. I made a query and everything seems ok, but when I use distinct to check the external id uniqueness, I get error message:"Cannot have map type columns in DataFrame which calls set operations(intersect, except, etc.), but the type of column metadata is map<string,string>; I don’t know why I get this message, Isn’t it possible to use distinct when wi do MAP or To_Metadata mapping?
Hi fellow Community Members! Here’s a quick update on our joint community achievements in a little over a year: 3200 Community Members 2800 Posts 2000 Questions Answered 250 Product Ideas 1100 Badges AwardedTHANK YOU for making our community a special and inspiring place to make data do more for our industries.As we grow we're constantly looking to improve our community, and one of the changes you might notice is your new level badge. You can read more about your new level badge below. We hope you like it, you’ve earned it! 🏅
On behalf of Celanese Clear Lake Utilities super userDoes Charts currently support the option to create cumulative sum calculations? For example, when calculating total usage/consumption of fuel gas across the site, the user usually has to get the individual data points from the raw data sources and then do the calculation manually in an excel sheet. The user has to repeat these calculations every month.Could Charts potentially automate this calculation to provide real-time data to display a summary of data as it grows over time for consumption/usage? Also, would Charts be able to “reset” this calculation every month?
I realizd that when leveraging Cognite REVEAL in application development, can we not have Point Cloud/360 Images annd 3D in one REVEAL? Why do i have to select which one? is that not embedded within the same where i can turn on or off the Point Cloud or 360 Images?
Hi, I am trying to use the Data Modeling API (https://pr-ark-codegen-1646.specs.preview.cogniteapp.com/v1.json.html#tag/Instances-(New)/operation/applyNodeAndEdges) to create instances of Views I have defined, including a reference property from one view to another. The reference property in the view looks like this: "facility": { "type": { "space": "jca-domain", "externalId": "EquipmentFacility" }, "source": { "type": "view", "space": "jca-domain", "externalId": "Facility", "version": "0_1" }, "direction": "outwards" }I’m not including the whole definition as it is kind of lengthy, but basically there is a Facility view and an Equipment view, and the above property is on the Equipment so I can link it to a Facility. I am able
Unable to view all the values in the source field drop down for a events page in CDF UI. In the image below , for the source field drop down,over the left side, i am not able to see all the values expected . It’s showing only few values.
Hi… Knowing that there are locations (or remote locations) with limited internet access, what would be the recommended internet/network bandwidth for 5 concurrent users in order to deploy CDF with a reasonable performance?Any experience on this matter?Thanks Gustavo
Hi, can we load public data from cdf into mySQL
I am the Head of the Services delivery team in Cognite. The team I lead develops and delivers domain use cases based in CDF to our customers in O&G, manufacturing and renewables. I am going to focus here on what are the consequences of corrosion of industrial assets on the economy and the environment, as recently covered in a series of publications (see references section). The economic and environmental cost of corrosion is a significant issue and is much more severe than one could think. While several calculations methods have been used in various studies it is generally accepted that the direct costs of corrosion to the economy are equivalent to roughly 3–4% of a country’s gross domestic product (GDP) [1,2]. The main cost impact is due to the replacement of corroded steel in failing infrastructures (roads, railways, etc.) industrial equipment and buildings. As well, it has been qualitatively estimated that between 25 and 33% of the annual steel production is destroyed once in se
Question from an end user:What is the best way to calculate the percentage of good values for a time series over a year using Cognite Charts? I have a list of PSVs in various units that I need to see if we have data availability of at least 95% in 2022.