This content originally appeared on DEV Community and was authored by prem vishnoi
Data architecture transcends the boundaries of data storage — it is a discipline focused on creating a robust foundation that transforms raw data into actionable insights.
This article provides a deep dive into enterprise data architecture, emphasizing system architecture, data modeling, and emerging trends like Data Mesh and Federated Multi-Cloud Architecture.
By mastering these, professionals can ensure scalability, innovation, and consistency in their organizations.
Key Areas of Focus
System Architecture: Explore data storage systems, flow, and optimization strategies such as the Medallion Architecture.
Data Modeling: Learn about dimensional modeling, schema designs, and how they enable fast analytics.
Emerging Trends: Understand modern paradigms like Data Mesh and Multi-Cloud Federated Architectures, which are reshaping enterprise systems.
Part 1: System Architecture
This content originally appeared on DEV Community and was authored by prem vishnoi
prem vishnoi | Sciencx (2025-01-05T14:53:25+00:00) Enterprise Data Architecture and Modeling: Key Practices and Trends. Retrieved from https://www.scien.cx/2025/01/05/enterprise-data-architecture-and-modeling-key-practices-and-trends/
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