Data Architecture & Design
Managing the flow, storage, and consumption of data across the enterprise.
Data architecture defines how data is acquired, stored, processed, distributed, and consumed. It is the blueprint for managing data assets.
Topics
- CAP Theorem: Understanding trade-offs between Consistency, Availability, and Partition Tolerance.
- Database Selection: Relational (ACID) vs. NoSQL (BASE) vs. NewSQL.
- Data Lakes vs. Data Warehouses vs. Data Mesh: Modern approaches to analytics storage.
- Event Sourcing & CQRS: Decoupling write and read models for performance.