Individual skill
creating-data-lake-table
Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table, structured data storage, S3 Tables, Iceberg, Athena table, partitioning strategy, access permissions. Do NOT use for: importing files (use ingesting-into-data-lake), vector storage (use storing-and-querying-vectors), querying existing tables (use querying-data-lake), or locating existing table (use finding-data-lake-assets).
skills/specialized-skills/storage-skills/creating-data-lake-table/SKILL.md
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SKILL.mdcore · 8,289 bytesSKILL.mdcore · 8,289 bytesSKILL.mdcore · 8,289 bytesSKILL.mdcore · 8,289 bytesSKILL.mdcore · 8,289 bytesSKILL.mdcore · 8,289 bytesreferences/access-control.mddoc · 1,477 bytesreferences/athena-ddl-path.mddoc · 3,540 bytesreferences/best-practices.mddoc · 4,647 bytesreferences/table-creation-glue-etl.mddoc · 6,210 bytes
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# Create Data Lake Tables with Amazon S3 Tables
## Overview
Amazon S3 Tables provides managed Iceberg tables with automatic compaction and snapshot management. Queryable via Athena and Iceberg-compatible engines.
## Common Tasks
You MUST use AWS MCP server tools when connected, they provide command validation, sandboxed execution, and audit logging. Fall back to AWS CLI if MCP unavailable.
## Decision Guide
**Before creating, You MUST check what exists:**