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How to Scale Data Governance Across your Modern Data Stack
OneWeb is a communications company building a 700-satellite constellation that will provide global satellite Internet broadband services to people everywhere.
OneWeb needed the ability to share mass amounts of data from satellites that were being sent to one of 31 different data lakes around the world. data.world’s knowledge-graph powered data catalog empowered OneWeb’s engineers to find and access data across these separate domains.
Miguel Morgado is the Product Owner of the self-service data hub at OneWeb.
“One problem we had was to understand where our satellites were failing. How do we collect this data and make it available to our engineers so they can solve these real life problems? We needed to share the data between domains in the proper data mesh approach.”
HQ: London, UK
Use Cases: Data Discovery, Self-Serve Data, Data Mesh
Benefit: data.world's knowledge-graph-powered data catalog easily enables a data mesh architecture
Challenge: How to empower satellite engineers to find and understand crucial design and performance data
OneWeb wanted to give their satellite engineers access to data from domains distributed around the world, and empower them to discover the data they needed in a self-service infrastructure.
Data Mesh: Data on satellite design and performance needed to be shared globally from all domains in order to improve satellite design.
Data Discovery: OneWeb wanted to empower users to find the data they needed with a self-service approach.
OneWeb uses the data.world data catalog to govern data from all of their 31 data lakes, allowing their satellite engineers to share and access crucial performance data used for satellite design. By establishing a data mesh architecture — supported by data.world’s knowledge-graph-powered data catalog — OneWeb is able to improve their product design and functionality with the collective knowledge of their workforce.
“In terms of data mesh, I’ll say the process is more important than the products. But having the right products to implement a data mesh is important as well.”