architecting-data

What problem does it solve?

This Skill provides strategic guidance for designing robust and scalable data platforms, helping you navigate complex architectural choices.

Core Features & Use Cases

• Storage Paradigms: Choose between Data Lake, Data Warehouse, or Data Lakehouse.
• Data Modeling: Select appropriate approaches like Dimensional, Data Vault, or Wide Tables.
• Data Mesh: Evaluate readiness and principles for decentralized data architectures.
• Medallion Architecture: Implement Bronze, Silver, and Gold layers for data quality.
• Use Case: You are tasked with designing a new data platform for your company. Use this Skill to understand the trade-offs between different storage paradigms, choose the best data modeling approach for your BI and ML needs, and decide if a data mesh is suitable for your organization.

Quick Start

Use the architecting-data skill to get guidance on choosing a storage paradigm for a new data platform.