Data Modeling provides you with the flexibility to define your own Industrial Knowledge Graphs based on relevant industry standards, your organization’s own data structures and use cases, or a combination of all of these. Large, and often complex, Industrial Knowledge Graphs might be needed to represent the full extent of your industrial data across disciplines. An important aspect of these knowledge graphs is being able to explore and iterate on both its data and its structure.With this release, we are enhancing the Data Modeling user interface in Cognite Data Fusion to better visualize the containers and views of your data model. Isolate a view or containerYou can now isolate a view or container by clicking on an item, and choosing from the Quick Filter at the bottom right corner. You can decide between isolating the view or container by itself, or show all other views and containers related to the current selection. You can then further decide which related views and containers to
Hey everyone! 👋 I've been diving into the world of CDF data modeling for the past couple of weeks, and I thought I'd share what I've learned so far in a way that's easy to understand. First off, let's talk about the term "Data Modeling." It's everywhere in CDF - in API endpoints, UI, docs - but its meaning can vary depending on where you look. After some digging, I've figured out what it means specifically in CDF. Essentially, it's about organizing, storing, and working with data in a way that's perfect for handling complex industrial scenarios. Think of it as the foundation for unleashing the power of Cognite Data Fusion on your industrial data. So, what exactly makes up a Data Model in CDF? Let's break it down: Space: Think of it like a folder where everything in a Data Model hangs out. Containers, views, instances - they all belong to a Space and have their own unique ID. Containers: These are like the storage units for properties. They live within a space and hold sets of proper
At Cognite, we are committed to continually enhancing the Data Modeling capabilities in the Cognite Data Fusion (CDF) platform while minimizing disruptions for our clients and users.However, we regret to inform you that a recent update in the Data Modeling API has broken older versions of the Python SDK. Specifically, the method used to list views, now it works exclusively in the latest versions of the SDK.To ensure seamless integration and uninterrupted usage of our platform, we strongly recommend all users to upgrade to the most recent version of the Python SDK, with a minimum requirement of version 7.37.0.We want to reassure our users that this change does not affect any functionalities within the SDK itself. Your existing workflows and applications should continue to operate as expected.Should you have any inquiries or require assistance, please feel free to reach out to Cognite Support. We're here to help!Thank you for your understanding and continued support as we strive to prov
Greetings, everyone!We're thrilled to share some exciting updates regarding our ongoing efforts to enhance data integration within CDF (Cognite Data Fusion). These improvements are aimed at streamlining your experience and empowering you with more capabilities. Let's dive right in!New Features for the File Extractor: 1. OpenText Documentum REST Services Support:We've expanded the capabilities of the Cognite File Extractor to now seamlessly integrate with OpenText Documentum REST services, so that you can connect to multiple sources by only configuring one extractor. Check out the documentation for configuration details here.2. Advanced Filtering:Enjoy enhanced client-side filtering options based on metadata, allowing for precise filtration and complex rules tailored to your needs.3. Improved SharePoint Integration:Say hello to improved SharePoint support! We now offer support for multiple SharePoint sites, dynamic site discovery, and the flexibility to configure sites via URL. Plus, w
Hello we have very good news for you, Seismic Service reached Limited Availability. What does it mean for you? A more mature and resilient Software as a Service offering supported by Cognite, and only one step away from being general available. In this particular case the main difference between Limited and General availability relies on the specific cloud support vs a cloud agnostic offer. Why was the Seismic service built? Because seismic data is a key asset for many companies in the Oil and Gas industry, and it represents a big portion of the data a company might own. The reason for this is that seismic data by nature is very large and complex to store and access quickly. In Cognite, we built the Seismic Service that allows you to store data in the cloud, search for a particular seismic line and stream it in seconds. All these functionalities are powered by CDF. Seismic Service enables you to: Have centralized access for 2D and 3D post stack seismic data Full control on who acces
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