{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/3"}],"enrichment":{"capability":"Provides AWS CDK constructs for defining and managing Amazon S3 Tables with built-in Apache Iceberg support, enabling declarative infrastructure-as-code for tabular data storage in S3.","skillfed_tags":["aws-cdk","infrastructure-as-code","iceberg"],"use_cases":["Define and deploy S3 table buckets with automatic cleanup of unreferenced files and snapshot retention policies.","Create Iceberg tables with custom schemas, partitioning strategies, and sort orders for optimized analytical queries.","Grant fine-grained IAM permissions to table buckets and individual tables for multi-tenant or cross-account access.","Configure encryption settings (KMS or S3-managed) and manage key access alongside table infrastructure.","Manage table namespaces and organize multiple related tables within a single bucket using infrastructure-as-code."],"what_it_does":"This package provides high-level AWS CDK constructs for provisioning and managing S3 Tables, AWS's cloud object store with native Apache Iceberg table format support. It lets you define table buckets, namespaces, and individual tables using Python code, with full control over schema, partitioning, sort orders, and lifecycle policies like unreferenced file removal and snapshot management.\n\nThe constructs wrap the underlying S3 Tables API and integrate with CDK's permission and encryption systems, allowing you to grant IAM principals read/write access and configure KMS or S3-managed encryption in declarative code. Because the APIs are experimental and subject to breaking changes, it is best suited for teams actively tracking AWS S3 Tables development and willing to update code as the service matures.","worth_installing":"Yes, if you are actively using AWS CDK to manage S3 infrastructure and need to provision S3 Tables with Iceberg support. The package is actively maintained, has no known vulnerabilities, and low install friction. However, be aware that the APIs are experimental and subject to breaking changes between releases\u2014unsuitable for projects requiring strict backward compatibility. For production use, plan for version pinning and regular testing of upgrades."},"id":"aws-cdk-aws-s3tables-alpha","links":{"html":"https://skillfed.io/packages/aws-cdk-aws-s3tables-alpha","md":"https://skillfed.io/packages/aws-cdk-aws-s3tables-alpha.md","pypi":"https://pypi.org/project/aws-cdk-aws-s3tables-alpha/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"permissive","name":"aws-cdk.aws-s3tables-alpha","python_support":"supports_current","summary":"CDK Constructs for S3 Tables"},"popularity":{"monthly_downloads":517975,"position":6225,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.265.0a0"}