Modern Data Architecture: A Guide for Small Companies

The Core Challenge

Small companies face a critical inflection point with data: they need enterprise-grade data capabilities while maintaining startup agility and managing costs. This guide provides a framework for building such a system.

Three Fundamental Principles

1. Data Quality at the Source
   • Build quality checks into data ingestion
   • Maintain original data copies
   • Create clear data lineage

   Learn more about implementing: Data Quality and Governance

2. Scalable Architecture
   • Use the Medallion Architecture (Bronze/Silver/Gold layers)
   • Separate sensitive data early
   • Enable incremental processing

   Dive deep into: Architecture of Data Platform

3. Right-Sized Implementation
   • Balance automation with manual processes
   • Choose appropriate tools for company size
   • Build for current needs while enabling future growth

   Explore: Tool Selection and Implementation

Key Components

Team Structure

• Small, efficient teams can manage enterprise-scale data
• Balance technical debt against delivery speed
• BI vs Pipeline developers
• Use contractors strategically

Learn more about: Building Effective Data Teams

Development Approach

• Start with MVPs
• Focus on quick wins
• Build incremental value

Explore: The MVP Approach to Data Platforms

Assessing Current State

• Data Warehouse or RDBMS
• Business Logic
• Reporting System

Discover: Assessing The Existing System