Major release

Cognite Data Fusion Release: February 2022

Related products: Cognite Data Fusion

The Product Release Spotlight Webinar recording for February can be found here.

 

Cognite Data Fusion (CDF) streams data into the CDF data model, where the data is normalized and enriched by adding connections between data resources of different types to provide better business decisions. With this release, you can ingest geospatial data into CDF to contextualize and map with other CDF resource types to deliver accurate spatial analysis and statistics.

Read more on this and all the other improvements for the CDF February 2022 release below.

 

Geospatial data

Work with geospatial data using the Geospatial API and Python & JavaScript SDKs to handle the positioning and geometry of CDF data. We currently support a multitude of coordinate reference systems (CRS), but you can add other entries from the European Petroleum Survey Group (EPSG) as a custom CRS. You can also transform an input CRS to the defined CRS to improve the search in geometrics.  Read more.

 

Ingest PI Asset Framework data to CDF

The new Cognite PI Asset Framework (AF) extractor is considered an extension to the Cognite PI extractor. The Cognite PI AF extractor retrieves a dump of the asset hierarchy from the Asset Framework on the PI Server and ingests this into Cognite RAW. Subsequently, the extractor regularly checks for updates in the PI asset framework and ingests any changes into CDF.

 

Delete asset hierarchies using CDF Transformations

You can now delete asset hierarchies in CDF using CDF Transformations. Items are deleted by their internal ID, and non-existing IDs are ignored. Read more about CDF Transformations here.

Delete SQL transformations

 

Ingest data into CDF Relationships using PostgreSQL gateway

We're rolling out the option to use the PostgreSQL gateway and Azure Data Factory (ADF) to ingest data directly into CDF Relationships. Select the public.relationships table in your ADF sink. Learn how here.

 

Ingest time series data points directly into CDF Data points using the Cognite DB extractor

The Cognite DB extractor, version 2.4.1, provides a new option to ingest data points directly into CDF Data points instead of Cognite RAW. Set destination type as TIME_SERIES in your configuration file.

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Early adopter programs

Cognite offers several Early adopter programs to our users. We encourage you to take this opportunity to learn about and test our features currently in the making. Navigate to Cognite Hub , open the Group tab, and select Request to join to become an Early adopter candidate.

@Herwig @Benjamin Sokolowski @Peter Dabrowski @Jan Kaluza @Bernt Reinhardt 

Don’t miss out on our February release webinar! This is the third webinar in our Product Release Spotlight Webinar Series. 

What Product Release Spotlight: February 2022

When and where February 28th 14-15 CET, Online

What you’ll learn 

Our product experts will walk you through the main features in the release. You’ll find the release notes here

How to register

Register for the webinar on Cognite Hub here (you need to be signed in to Hub to sign up for the webinar). If you’re not a member of Cognite Hub yet, you first need to sign up using your work email following these steps.

Should you not be able to join, we’d recommend you to sign up anyway as we’ll make the recording available in Hub after the webinar. 

I hope to see you there! 


Great to get geospatial support in CDF! Are some of the following topics going to be covered in the release webinar or associated tech-docs?

  1. Transforming large scale geospatial datasets (example: 4 billion “5D” observations or more per dataset) from e.g. files (NetCDF) to geospatial feature types using out-of-the box CDF extraction and transformation components
  2. Controlling access to open or closed geospatial datasets coming from multiple providers (feature types)
  3. Trace data lineage and ensure data integrity of geospatial data through CDF Data Sets
  4. Contextualize geospatial data by building relations to other data resource types, e.g. asset hierarchies (sensor platforms and sensor tags) or time series derived from geospatial

 


@Ashutosh Kumar ,

Where will the recording of the webinar be posted for later review?

 

Thank you!

Ben Brandt


@Ben Brandt Here is the link to the webinar, you can watch it here in Hub in case you miss it 

 


Btw, @Stig Grafsrønningen and @Angeliqa Axelsson the geospatial services / API may have some applicability to the fishing vessels and data. Have dug into detail myself, but worth checking out. :slight_smile: