Introducing the borderless Lakehouse
Today’s data lakehouse is no longer mere data repository, but increasingly a system of action, actively executing tasks via always-on, autonomous AI agents. Rather than waiting for static reports, these agents run continuous, real-time reasoning loops, monitoring supply chains, flagging anomalies, and executing business workflows. To scale this model, AI agents need to access your entire data estate and the right context to understand what data to use and when. However, traditional data architectures, with their high costs, fragmented security, and weak governance, don’t make it easy.
Today at Next Tokyo, we’re introducing enhancements to our borderless Lakehouse. Built on open Apache Iceberg, it connects your on-premises, cross-cloud operational systems, and SaaS application clouds, so you can activate and query your data wherever it lives, without moving it.
Federating multiple catalogs with Iceberg REST
The borderless Lakehouse enables Gemini Enterprise and conversational agents to analyze and act on data...
Copyright of this story solely belongs to google.com. To see the full text click HERE
