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We are happy to announce the release of our groundbreaking Industrial Canvas in Cognite Data Fusion where you can easily:Explore and access any type of data in one compostable environment. Work with several data types side-by-side and get all the context that you need for your data analysis.  Collaborate - annotate, share insights with seamless integration into no-code analytics (Charts). Working together, in the same canvas, with your fellow colleagues to solve problems and iterate. Create - work in a canvas like experience, get documents summarization, flexibility on how you are managing the space and find solutions based on data. By having a collaborative workspace, you can do visual data exploration to efficiently analyse a problem or understanding something about the physical asset and the data it is generating. You can perform data analysis, troubleshooting, support for root cause analysis, understand your asset health, do work packs preparation, support for maintenance planning

Dear Cognite Hub community: We are very happy to announce that our Cognite SAP Extractor is now generally available to CDF users!The extractor connects to OData V2.0 endpoints in the SAP NetWeaver Gateway, making use of many pre-built integrations available in S/4HANA and saving considerable implementation time, while also natively connecting to the SAP data you need in a standardised manner.To get started,  download the SAP Extractor from the “Extract Data” page directly from CDF. The documentation, including Server Requirements and how to set up your SAP extractor is available here.We have also prepared a short demo (less than 4 minutes long) showing the steps needed to setup a data extraction from SAP S/4HANA OnPremise to CDF from scratch, including how to find the standard service from SAP, enable it in S/4HANA, configure and run the extractor and then see the SAP data in CDF.   Any feedback is very welcome, after testing the extractor and/or watching the quick demo please make sur

Subscribe to webhookhttps://status.cognite.com reports the health of Cognite's services and products. You can sign up to get email and SMS notifications for status changes and upcoming maintenance for specific products and clusters. You can also subscribe to webhook notifications to integrate with your monitoring systems. You will receive notifications for all components and clusters and can filter the information to fit your needs. To subscribe to webhooks, select "Subscribe to updates" and then the webhook option (<>). Specify the URL we should send the webhooks to and provide an email address if your endpoint fails. The table below lists the product IDs you can use to filter the notifications. For details about the format of the notifications, see https://support.atlassian.com/statuspage/docs/enable-webhook-notifications/ . If you don't know which cluster your CDF project is on, contact Cognite Support or Customer Success. Cluster names and product IDsIf you're subscribing to

We have a unique use case where there are data points collected from PI server for refinery plant and alongside, we have other refinery data like Crude assays, Diet, Mass Balance. All these data points (in tabular format) are collected and then some formula is applied across to get properties (like swing cut %, CBLISS, Vol%, etc.) and some derived tables are created. Then some input feed is made from the actual data sent to a Petro-Sim tool (math simulation tool/modeling) and then output from that tool is collected and stored. All these data wrangling is done and finally charts are finally made for some 50+ crude product variants to measure yield tracking (Actual data, non-linear model data, linear model data). As per design, we are planning to use the CDF raw tables and then do all the computations and create derived raw tables to fulfil the purpose. Then use Petro-Sim connector and then store the data output from the model tool as well in raw tables. So, we don't tend to see the typi

Do we have any api in cognite which will help to show preview data of transformations?

I am currently working through “Learn to Use the Cognite Python SDK”. I am unsure where the workspace/code is provided so that I am able to take the final the test and succeed in this course. I was originally using a colab research google file that includes prompts. But the questions on the final test did not corelate with this file. Can you please instruct me on how I find the correct files/workspace.  Thank you in advance. 

Hi all, I ran into an error when running a transform: instances failed with status 400: Request had 37 constraint violations. Please fix the request and try again. [properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 and 2147483647, properties size must be between 1 a

Hello Community,We are thrilled to announce the launch of Cognite AI, a comprehensive suite of Generative AI capabilities within our core Industrial DataOps platform, Cognite Data Fusion®.Cognite AI is a first-of-its-kind, hallucination-free, data-leakage-free Generative AI solution that accelerates time-to-value from Generative AI for energy, manufacturing, and power and renewables customers. And the best part is that it is fully open to all partners to create tailored industrial solutions.Cognite Data Fusion® with Cognite AI improves operations by rapidly accelerating cloud adoption and increasing the efficiency of industrial workflows by 10 times.Read the full press release here to learn how we harness the power of Generative AI for industry:https://www.cognite.com/en/press-release/introducing-cognite-ai

Hello Community,We are thrilled to announce the launch of Cognite AI, a comprehensive suite of Generative AI capabilities within our core Industrial DataOps platform, Cognite Data Fusion®.Cognite AI is a first-of-its-kind, hallucination-free, data-leakage-free Generative AI solution that accelerates time-to-value from Generative AI for energy, manufacturing, and power and renewables customers. And the best part is that it is fully open to all partners to create tailored industrial solutions.Cognite Data Fusion® with Cognite AI improves operations by rapidly accelerating cloud adoption and increasing the efficiency of industrial workflows by 10 times. Read the full press release here to learn how we harness the power of Generative AI for industry:https://www.cognite.com/en/press-release/introducing-cognite-ai

Hello May I know if inventor 3D model is supported in CDF? 

I noticed that calling a pre-existing Cognite Function requires the functionsAcl:WRITE capability. Essentially this means that I cannot make a function available to users/dashboards/applications without simultaneously giving them permission to delete functions. What is the reccommended pattern for ACL when making Cognite Functions that are to be called by others?https://docs.cognite.com/api/v1/#tag/Function-calls

Hi, I am observing below error(in bold) in extractor log for timeseries query: 2023-01-24 03:31:03.345 UTC [INFO    ] QueryExecutor_0 - Starting extraction of avocet-timeseries2023-01-24 03:31:03.345 UTC [DEBUG   ] QueryExecutor_0 - Query: 'SELECT ITEM_ID + PROPERTY_TYPE+'Avocet' as "externalId", START_DATETIME as timestamp, PROPERTY_VALUE as value FROM ITEM_PROPERTY1 WHERE START_DATETIME is not null and PROPERTY_VALUE is not null and LAST_UPDT_DATE is not null ORDER BY LAST_UPDT_DATE ASC'2023-01-24 03:31:03.612 UTC [INFO    ] QueryExecutor_0 - No more rows for avocet-timeseries. 2 rows extracted in 0.267 seconds2023-01-24 03:31:03.873 UTC [DEBUG   ] ThreadPoolExecutor-9_0 - https://westeurope-1.cognitedata.com:443 "POST /api/v1/projects/slb-pdf/timeseries/data HTTP/1.1" 200 222023-01-24 03:31:03.875 UTC [DEBUG   ] ThreadPoolExecutor-9_0 - HTTP/1.1 POST https://westeurope-1.cognitedata.com/api/v1/projects/slb-pdf/timeseries/data 2002023-01-24 03:31:03.877 UTC [INFO    ] QueryExecutor_0

Hello everyone! I am Elias, robot enthusiast and Product manager for Robotics and field operations. Join us for the Asset Performance Management Product tour and discover how you can enhance your understanding of your assets while leveraging Cognite's offering to boost your uptime.Watch the recording here: We're eager to hear your thoughts on how robotics can play a role in Asset Performance Management. Share your ideas in the thread below! 🚀

hello Community,While logging into cognite infield, there is a option to sign in with project name.so that project name is the project created in CDF?in documentation, we can see Infield runs on CDF, Which means CDF project is only way to get data into infield? or any other ways we can get data into infield?is there way to access infield from python sdk?Thank you

We multiple are seeing 408 response code from graphql query api. There are multiple combinations of filters which are not working. For eg the below one returns 408, i think the problem is with the array length of filter entity.entityName. If the array length is 2 it works else it is not working.query MyQuery {          listTimeSeriesRef(filter:{and:[{entity:{entityType:{in:["NAVIGATOR","SCREEN_CFG_REF"]}}},{property:{in:["TUBING_TEMP"]}},{entity:{entityName:{in:["Process.ReAllocation","Analysis Point by Desks","Downtime.GroupDowntime.DateTime.Subsystem"]}}}]}) {            edges {              node {                property        entity{        lastUpdated        entityType        entityName        }              }            }          }        }

HI All, I am looking to help in order to display timeseries and events co-relation in Power BI. I want to show when the event occurred in timeseries chart on specific event time.Any inputs would be appreciated! Regards,Arati 

Hi. I’m trying to understand why no alert has been triggered for the following monitoring job.Am I right to understand that this monitoring job should trigger an alert when the time series is above the specified threshold? (I am a bit confused by the text “alert when the threshold is”. Is this perhaps not monitoring the time series itself, but a threshold specified on the threshold tab?) 

Hello Community👋, Are you tired of the time-consuming and complicated process of turnaround (TAR) planning? In our latest blog post, we delve into the revolutionary potential of Generative AI in TAR planning. Discover how this advanced technology can reduce timelines, boost production capacity, and unlock untapped revenue opportunities.Generative AI holds the key to saving months of planning and improving operational efficiency. Traditional TAR planning faces challenges such as long-term cycles, budget constraints, preventive maintenance practices, limited collaboration, and post-turnaround equipment failures. These issues stem from manual data aggregation, isolated solutions, and the lack of comprehensive approaches.Find our how Generative AI can revolutionize TAR planning cycle!

Hi Team, I am trying to use bootstrap-cli to create raw DB, CDF groups and datasets. As per the documentation, I am executing “bootstrap-cli prepare” command before applying “bootstrap-cli deploy”. However I am encountering “AttributeError” .  Could you please help me what can be done to fix this? Following are the few details of the issue that is encountered. Command that I used to run the bootstrap-cli prepare.poetry run bootstrap-cli prepare --idp-source-id f2e5b1ef-e601-46ec-87ec-25f62810ad1fError Snippet:Prepare CDF Project ...Traceback (most recent call last):  File "<string>", line 1, in <module>  File "C:\Users\BMandal2\bootstrap\inso-bootstrap-cli\incubator\bootstrap_cli\__main__.py", line 2365, in main    bootstrap_cli()  File "C:\Users\BMandal2\AppData\Local\pypoetry\Cache\virtualenvs\inso-bootstrap-cli-Jo_B4J-G-py3.10\lib\site-packages\click\core.py", line 1128, in __call__    return self.main(*args, **kwargs)  File "C:\Users\BMandal2\AppData\Local\pypoetry\Cach

Hi Team, Please enable and configure Air setup in the below CDF project. (Accenture-demo-dev) under cluster EUROPE1-GOOGLE. Please let me know for any details. 

We are having performance issues for event retrieval whenever there are more events even below 500.Can you help me to understand how partitioning can be done or pagination, as we need to perform operation for each event after retrieval and send it as a api response.I tried below:  for unstructre_insight in client.events(type="Insight", limit=None,partitions=10):     (“do something with unstructre_insight in each partition in parallel to reduce response time”)I observed that if there are 64 events, then all 64 events are retrieved in one execution, how we can get one partition at a time and perform something for first partition in parallel while retrieving second partition to reduce time.

Request with id 1912a13b-f4d1-9e0d-a7df-056276ca269e to https://westeurope-1.cognitedata.com/api/v1/projects/****/timeseries/data failed with status 400: Expected numeric value for data point.how to get to know that for which external id this error is shown?

hello community,I need to work Cognite File Extractor, But found very limited resource on documentation. can anyone please provide any available resources regarding that like knowing completly how to use it, it’s configuration etcThank you

[TL;DR]Cognite introduces user profile functionality to collect user information such as name, email, and job title for all CDF users to improve search and sharing capabilities. Administrators can, of course, disable the automatic collection of user information. The functionality will enable us to provide you with granular access controls, collaboration features, and much more in the future. Initially, we support user profiles for projects using Azure AD for authentication. We will add other identity providers later. For more information about how we handle your data, refer to our privacy policy at https://www.cognite.com/en/policy.- Cognite Product TeamAt Cognite, we strive to provide a seamless and efficient user experience for all our users. To achieve this, we have rolled out user profile functionality and started collecting user information, such as name, email, and job title, for all Cognite Data Fusion (CDF) users. This will enable Cognite, 1st-party, and 3rd-party application b