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data-aws

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Optimize AWS data patterns for cost and speed.

Data & Analytics#ETL#AWS#architecture-patterns#cost-optimization#analyze#data-lake
AuthorAlexanderStephenThompson
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill standardizes AWS data infrastructure patterns to help teams design efficient data pipelines and analytics while controlling costs.

Core Features & Use Cases

  • S3 Data Lake Patterns: Guidelines for raw/staged/curated data with partitioned storage and Parquet formats.
  • ETL & Orchestration: Glue, Lambda, and Step Functions patterns for reliable, incremental data processing.
  • Analytics & Storage: Athena for ad-hoc queries and Redshift for BI workloads, with cost-conscious strategies.
  • Use Case: Model a typical data workflow from raw ingest to curated analytics, with explicit schemas and data governance.

Quick Start

Analyze your current AWS data stack and generate a recommended data-lake, ETL, and analytics pattern.

Dependency Matrix

Required Modules

None required

Components

referencesassets

💻 Claude Code Installation

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Please help me install this Skill:
Name: data-aws
Download link: https://github.com/AlexanderStephenThompson/claude-hub/archive/main.zip#data-aws

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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