Tag: Data Architecture
Hub & Domains: A Practical Data Operating Model
Domains bring data ownership closer to the business, but governance, access management, and shared standards remain difficult to decentralize. This article explores a Hub & Domains operating model that combines business ownership with centralized governance and platform controls.
Distributing Facts and Dimensions: Governance, Access & Ownership
Building facts and dimensions is only part of the challenge. This article explores how certified data should be distributed across the organization through controlled access paths, ownership models, governance processes, and support structures.
Data Platform Cost Optimization: Practical Strategies for Query Performance, Storage, and Cloud Resource Management
Explore how you can dramatically reduce data platform costs without sacrificing performance. This guide breaks down actionable techniques across query tuning, incremental data loading, cloud resource management, and storage lifecycle design.
Flat Tables vs. Snowflake Semantic Models: The Ultimate BI Data Debate
Structuring data for BI is a key decision that impacts performance, scalability, and data consistency. This article compares flat tables and semantic models, highlighting the strengths and trade-offs of each. Learn how a hybrid approach can offer the best of both worlds—combining consistency, flexibility, and efficient analytics across tools and teams.
Organizing Networking for Data Platforms: Key Connectivity Options
Optimize your data platform by making informed networking decisions. This article explores how networking impacts ELT workflows, covering key connectivity options, security considerations, and best practices. Learn how to design a secure, scalable, and high-performing data platform architecture with the right networking.
What is a Modular Data Platform?
Learn why modularity is crucial for building scalable, efficient data architectures. This article covers the core components of modern data platforms, from ingestion to governance, and shares best practices for flexibility, interoperability, and security.
What As a Data Mart? And What Challenges Does It Solve?
Data marts simplify access to meaningful business metrics, helping leaders drive performance improvements with clarity and precision. This article breaks down what a data mart is, how it functions, and what makes a metric truly effective. Explore how data marts consolidate information from multiple sources to provide actionable insights, avoid common data pitfalls, and enable smarter decision-making.
Faster Metrics with Data Marts (overcoming Data Warehouses challenges)
We explain what data marts are and how they help business leaders in managing their company performance by having faster and better metrics. We start by giving a short history of data warehousing and the typical challenges, and then move over to explain data marts and how they can help companies get better metrics today.