🚀 Impact 2024: The industrial data and AI conference for and by users | Nominate speakers now for a...
Hello Cognite Hub Community!We’re working on a new webinar series where we focus on concrete use case and solve it from start to finish with Cognite Data Fusion. We’d like to hear from you – which specific industrial use cases would you like us to solve? Please give us as much detail and context as you can.Do you have a use case solution you’d be interested in co-presenting with us? Fantastic. Please reach out to me directly on Cognite Hub or by email (eric.stein@cognite.com) and I’ll be in touch.Thanks everyone and looking forward to hearing from you!
Today, we are happy to announce the release of the following improvements to Cognite Data Fusion (CDF). Manage RAW foreign table in the Postgres GatewayYou can now manage the RAW foreign table in the Postgres Gateway using APIs and don’t have to rely on external tools such as pgAdmin or psql CLI to create, list, update or delete the RAW foreign tables.Update labels on assetsTo make it easier to update labels on assets, we have added a set method in the updateAssets operation. The operation accepts a list of labels to set or replace for the resource.Update sequence configurationWith the availability of mutable sequences, you can now update an existing sequence configuration. In addition to adding, removing and updating columns in your sequence, you can also update or clear the assetId, externalId, metadata, and the dataSetId for a sequence. To update a sequence, you need sequencesAcl:WRITE capabilities.Group limitsTo support authentication for users who are members of a large number of
“So, what actually is contextualization?” As a Cogniter, this has to be the question we get asked most frequently. From customers, partners, and peers, as well as family and friends.If you’ve asked yourself this question, then I’d highly recommend reading this blog post where @terjelo offers a great (and simple!) definition, as well as a real-world industrial example. Hopefully it’s something you’re able to use when your colleagues ask you more about contextualization! contextualization (noun)Contextualization is the process of identifying and representing relationships between data to mirror the relationships that exist between data elements in the physical world. The result is a richer data model that is greater than the sum of its source systems.
Hi community members, Many of you have likely heard of – or directly experienced – the industrial data problem that stands in the way of the success of Asset Performance Management (APM) strategies and solutions.In light of this, we wanted to share an insightful report recently published by Verdantix that highlights these challenges and compares APM vendors on the market today.We’ve summarized the key findings from this report as a guide for asset-heavy organizations seeking to invest in Asset Performance Management software. Click here to read more on our blog.We genuinely value your input and would love to hear whether these challenges and proposed solutions resonate with you too? Your thoughts and experiences are important to us as we continue to explore ways to overcome the hurdles faced by the industry. Thank you for being a part of our community, and we look forward to your valuable thoughts!
The Product Release Spotlight Webinar recording for October can be found here. This release of Cognite Data Fusion (CDF) contains enhancements to all capabilities for ingesting, managing & building trustworthy industrial data products to be used for data-driven decisions. Data engineers need observability to inspect, monitor, and debug solutions in production. Therefore, we’re introducing Extraction pipelines where you can monitor the status of data ingestions to make sure reliable and trustworthy data are flowing into the CDF data sets. When you set up extraction pipelines, you can add comprehensive documentation and email alerts. You’ll be instantly notified, can quickly start troubleshooting, and have on-the-spot contact info to data set owners and other stakeholders if ingestion issues occur. You create and view these pipelines either from the Data set lineage page while you are already working with a particular data set, or you can get a bird’s eye view across several data s
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