Creating Data Lake Table
by aws0d6167ad2e6dNo license2.8K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
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).
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/access-control.md | 1.4 KB | text/markdown |
| references/athena-ddl-path.md | 3.5 KB | text/markdown |
| references/best-practices.md | 4.5 KB | text/markdown |
| references/table-creation-glue-etl.md | 6.1 KB | text/markdown |
| SKILL.md | 8.1 KB | text/markdown |
Source and attribution
Source:aws/agent-toolkit-for-awsinplugins/aws-data-analytics/skills/creating-data-lake-tableat commit0d6167a
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from aws/agent-toolkit-for-aws
Signing In To Aws
aws
Guides developers through obtaining short-term AWS CLI/SDK credentials with the aws login command.
Aws Well Architected Review
aws
Reviews AWS workloads against the live Well-Architected Framework, evaluating every best practice and producing an evidence-backed report.
Aws Storage
aws
Advises on selecting, comparing, and operating AWS object, file, and block storage services.
Aws Serverless
aws
Routes AWS serverless requests to a compute form factor and the specialized skill that owns it.
Aws Security
aws
Reviews AWS security service configuration and summarizes findings across GuardDuty, Inspector, Security Hub, Macie, Detective and Security Lake.
Aws Sdk Swift Usage
aws
Reference patterns for writing Swift code with the AWS SDK for Swift package.
More in Data & Analytics
Spanner Basics
Guides Google Cloud Spanner administration, schema design, querying and performance diagnosis.
Gke Cost Analysis
Answers natural-language questions about GKE cluster and workload costs using BigQuery billing exports and live cluster metrics.
Datalineage Bigquery Asset Impact Analysis
Guides an agent through downstream impact (blast radius) analysis for a BigQuery table or view using Data Lineage.
Bigquery Troubleshooting
Diagnoses failing, slow, or unexpectedly expensive BigQuery jobs through structured root-cause workflows.
Bigquery Optimization
Guides BigQuery cost and performance optimization across capacity editions, storage layout, and SQL queries.
Bigquery Bigframes
Guides writing Python code with BigQuery DataFrames (BigFrames) for data processing, analysis, and machine learning.