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How does Cognite handle data encryption at rest? Is there any documentation available regarding this requirement? Additionally, concerning data encryption in transit, are there alternative approaches to TLS or MTLS?
I noticed that some members of the Cognite Hub community have earned sales badges related to a sales enablement training that seems not to be showing up for me in the Academy. I'm wondering if there are new sales training modules available. If so, how can I access them?
We are delving into the specifics of using Cognite for certain use cases and have identified the necessity for automatically extracting asset data from engineering data sources like PI&D documents. Are there any features available to facilitate this?For instance, our clients possess numerous PI&D documents and require automatic generation and structuring of asset hierarchies.
I am trying to create a time series subscription and receiving the error below:"Must have access to WRITE time series subscription.My question is, if the subscription is a listener, why does it need WRITE access?
Is there a project available that we can use to review the function examples from Cognite Functions tranning?
Hi everyone,We are working on a new project related to video analytics and would like to know if there are any features available at Cognite that we can count on as possible components of the solution, such as Cognite Cluster for running object detection/classification, object tracking, partial video events, and overlaying video output.
In the Introduction to CDF & Grafana course, the demo demonstrates how to create a client secret for training purposes by clicking the "Create Client Secret" button available on the training page. Since we have limited administrator access to the Cognite platform in the publicdata project, how do we create a client secret for Grafana in a real-world scenario?
Hi there,Are there any plans to make the PI Extractor open source, following the same approach as opcua-extractor-net?
Is there an example available for setting up the metric feature using Prometheus for the OPC-UA extractor, similar to what is shown for the PI extractor in the Cognite Academy?
Hi everyone,I'm André Alves, Head of Software Engineering at Radix, based in Rio de Janeiro, Brazil. I'm excited to introduce the Radix team to Cognite Data Fusion! I'm eager to learn more about Cognite Data Fusion and delve into its platform details to assist Radix in implementing Cognite for our clients. Let's get started!
We are currently exploring potential use cases with our team, and one of them involves implementing data quality techniques. I was wondering if anyone could share their experience in order to identify the best approach within the Cognite Platform for conducting data quality checks to ensure that all fields in critical tables are populated correctly.In the past, we have implemented a similar solution with a different vendor, utilizing a system that can prevent the flow of erroneous data through our data pipelines by employing validation and integrity checks based on declarative quality expectations.Thank you in advance.
Hello All,In the past, we encountered some performance issues when extracting data from the PI System using PI API. As an alternative, we have been using PI SDK to extract data from both PI Archive and AF. The question is, does Cognite PI Extract utilize PI SDK, and are there any performance limitations?
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