How Metadata Lakehouses Unify Data Discovery Across Silos

In this episode, Lucas and Luna explore how metadata lakehouses are emerging as a new architectural layer that unifies data discovery across fragmented enterprise data landscapes. They discuss how companies like Atlassian and Uber have used this approach to reduce data discovery time by 40 percent, and contrast it with earlier metadata management strategies like data catalogs and data mesh. The conversation delves into the technical underpinnings, including open table formats like Apache Iceberg and the role of machine learning in auto-tagging, and considers whether metadata lakehouses represent a genuine paradigm shift or just another tool in the stack. #MetadataLakehouse #DataDiscovery #DataSilos #ApacheIceberg #Atlassian #Uber #DataCatalog #DataMesh #DataGovernance #OpenTableFormats #MachineLearning #AutoTagging #EnterpriseData #DataArchitecture #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #DataInfrastructure Keep every episode free: buymeacoffee.com/fexingo