skills.rest
ironkid90
ironkid90COMMUNITY
Explore all skills by this author →
GitHub

federate-lakehouse-catalog

Connect remote Iceberg REST Catalogs to GCP engines for cross-cloud querying.

Updated Jun 15, 2026
Search Tags:#GCP#Spark#BigQuery#federation#Iceberg
One-click install
npx skills add https://github.com/ironkid90/lucky5-v8 --skill federate-lakehouse-catalog-ironkid90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: federate-lakehouse-catalog
Source: https://github.com/ironkid90/lucky5-v8/tree/main/plugins/skills/federate-lakehouse-catalog
Command: npx skills add https://github.com/ironkid90/lucky5-v8 --skill federate-lakehouse-catalog-ironkid90

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-cloud-biglake, google-cloud-secretmanager, google-cloud-iam, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill connects remote Iceberg REST Catalogs to Google Cloud Platform (GCP) engines like BigQuery and Spark, enabling querying of remote data from GCP environments.

Core Features & Use Cases

  • Cross-Cloud Connectivity: Federates catalogs from Databricks Unity and AWS Glue.
  • Data Querying: Supports querying of remote data in GCP engines.
  • Use Case: For organizations that need to query data stored in Databricks Unity or AWS Glue from GCP engines.

Quick Start

Use the federate-lakehouse-catalog skill to federate your Databricks Unity Catalog to BigQuery.

Frequently Asked Questions about federate-lakehouse-catalog

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query remote Iceberg tables from BigQuery?▼

You can query remote Iceberg tables from BigQuery by connecting remote Iceberg REST Catalogs to GCP engines. This federation allows BigQuery to directly access and query data managed by external catalogs like Databricks Unity or AWS Glue.

Can I use BigQuery to query data stored in a Databricks Unity Catalog?▼

Yes, BigQuery can query data stored in a Databricks Unity Catalog by federating the remote Iceberg REST Catalog. This connection enables cross-cloud data querying directly from your GCP environment.

What GCP IAM roles and APIs are needed to federate an Iceberg REST Catalog?▼

Federating an Iceberg REST Catalog requires Google Cloud APIs, specific IAM roles, and secret management. These dependencies ensure secure and efficient cross-cloud data access between your remote catalogs and GCP engines.

Does Spark on GCP support connecting to AWS Glue Iceberg catalogs?▼

Yes, Spark on GCP supports connecting to AWS Glue Iceberg catalogs. The federation process links the remote REST Catalog to your GCP compute engines, enabling cross-cloud data querying for analytics.

What is the best way to connect AWS Glue catalogs to GCP engines for cross-cloud querying?▼

The best way to connect AWS Glue catalogs to GCP engines for cross-cloud querying is by federating the remote Iceberg REST Catalogs. This approach integrates BigQuery and Spark without moving the underlying data.

Related Skills

Explore More Data & Analytics Skills→
interflownexinterflownex
2

federate-lakehouse-catalog

Federate remote Iceberg REST catalogs into Google Cloud BigLake for cross-cloud querying.

Community
Advanced
DicklesworthstoneDicklesworthstone
70

gcloud

Manage Google Cloud resources via the gcloud CLI.

Community
Advanced
gemini-cli-extensionsgemini-cli-extensions
161

federate-lakehouse-catalog

Federate Google Cloud Lakehouse catalogs to remote Iceberg catalogs.

Official
Advanced
lucaslessachaveslucaslessachaves
1

databricks-iceberg

Configure Iceberg tables on Databricks with Unity Catalog and REST Catalog access.

Community
Advanced