Build a lakehouse on AWS that Redshift Serverless can query - S3 Tables (managed Apache Iceberg) for storage, the Glue federated catalog (s3tablescatalog) for metadata, Lake Formation for access control, and a Redshift Serverless external schema for SQL. Use when the user wants to "build a lakehouse on AWS", "set up a data lake on AWS", "query Iceberg from Redshift Serverless", "wire S3 Tables to Redshift", "set up the Glue federated catalog for S3 Tables", or "let Redshift Serverless read S3-resident Iceberg tables". Covers the highest time-wasted gotchas in this stack: !Ref AWS::S3Tables::TableBucket returning the ARN (not the name), the bucket-nested Glue catalog ARN format, the " @s3tablescatalog" 3-part naming, IAM access control mode versus Lake Formation access control mode, and which Redshift external-schema path to pick. Does NOT cover Firehose-specific authoring (use firehose-iceberg-pipeline) or hot-path Kinesis/Lambda CDC ingestion (use cdc-streaming-pipeline).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryDeveloper toolsStars0
About this skill
Build a lakehouse on AWS that Redshift Serverless can query - S3 Tables (managed Apache Iceberg) for storage, the Glue federated catalog (s3tablescatalog) for metadata, Lake Formation for access control, and a Redshift Serverless external schema for SQL. Use when the user wants to "build a lakehouse on AWS", "set up a data lake on AWS", "query Iceberg from Redshift Serverless", "wire S3 Tables to Redshift", "set up the Glue federated catalog for S3 Tables", or "let Redshift Serverless read S3-resident Iceberg tables". Covers the highest time-wasted gotchas in this stack: !Ref AWS::S3Tables::TableBucket returning the ARN (not the name), the bucket-nested Glue catalog ARN format, the " @s3tablescatalog" 3-part naming, IAM access control mode versus Lake Formation access control mode, and which Redshift external-schema path to pick. Does NOT cover Firehose-specific authoring (use firehose-iceberg-pipeline) or hot-path Kinesis/Lambda CDC ingestion (use cdc-streaming-pipeline).
Quick start
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Build a lakehouse on AWS that Redshift Serverless can query - S3 Tables (managed Apache Iceberg) for storage, the Glue federated catalog (s3tablescatalog) for metadata, Lake Formation for access control, and a Redshift Serverless external schema for SQL. Use when the user wants to "build a lakehouse on AWS", "set up a data lake on AWS", "query Iceberg from Redshift Serverless", "wire S3 Tables to Redshift", "set up the Glue federated catalog for S3 Tables", or "let Redshift Serverless read S3-resident Iceberg tables". Covers the highest time-wasted gotchas in this stack: !Ref AWS::S3Tables::TableBucket returning the ARN (not the name), the bucket-nested Glue catalog ARN format, the "<bucket>@s3tablescatalog" 3-part naming, IAM access control mode versus Lake Formation access control mode, and which Redshift external-schema path to pick. Does NOT cover Firehose-specific authoring (use firehose-iceberg-pipeline) or hot-path Kinesis/Lambda CDC ingestion (use cdc-streaming-pipeline).
About this listing
Category
Developer tools
Reported license
AGPL-3.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI