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google-cloud-solution-agentic-ai-borderless-data-lakehouse

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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).

When to use

• architecting multi-cloud storage infrastructure
• establishing ingestion and AI serving subsystems
• configuring Cross-Cloud Interconnect
• deploying Gemini Enterprise Agent Platform
• deploying BigQuery data agents
• designing borderless open data lakehouse

When not to use

• single-cloud data warehouses
• Knowledge Catalog metadata governance
• Spark-driven IDE analytics workflows

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