---
title: Google Cloud Solution Agentic Ai Borderless Data Lakehouse — Invoked Exchange skill
description: Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).
doc_version: "1.0"
last_updated: "2026-10-20T22:30:12.462Z"
canonical: https://invoked.ai/skills/google-cloud-solution-agentic-ai-borderless-data-lakehouse
---

# Google Cloud Solution Agentic Ai Borderless Data Lakehouse

Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).

- Shared by: google/skills
- Composes surfaces: 
- Tool chain: 
- Add to Invoked: https://invoked.ai/skills/google-cloud-solution-agentic-ai-borderless-data-lakehouse

## Community usage

_Building — published once enough workspaces have run this skill._

## Sitemap

See the full [Exchange sitemap](https://invoked.ai/sitemap.md).
