nw-data-architecture-patterns
CommunityMaster data architectures for scalable analytics.
Data & Analytics#governance#etl#architecture-patterns#data-warehouse#data-lake#data-architecture#data-lakehouse
AuthorStudentCristian
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Clarifies how to choose among data architecture patterns (data warehouse, data lake, data lakehouse, and data mesh) and explains how each pattern supports governance, ETL/ELT pipelines, and scaling strategies.
Core Features & Use Cases
- Decision guidance on selecting the appropriate architecture for structured analytics, data science workloads, and autonomous domain data products.
- Architectural patterns with explanations of schemas, governance considerations, and technology touchpoints (e.g., Snowflake, AWS/GCP/Azure options, and orchestration).
- Use Case: For a large organization needing centralized reporting with domain-owned data products, align with a data mesh or lakehouse approach to balance governance and flexibility.
Quick Start
Apply the pattern selection guidance to map your current data needs to one of: Data Warehouse, Data Lake, Data Lakehouse, or Data Mesh.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: nw-data-architecture-patterns Download link: https://github.com/StudentCristian/nWave-github/archive/main.zip#nw-data-architecture-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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