Is Traditional Data Architecture Dying?
A deep, architectural walkthrough of what actually breaks β and what replaces it β in the GenAI era
Expert insights on data management, architecture, and governance from a practicing data solution architect.
Dive deep into the world of data architecture with real-world experiences, practical solutions, and cutting-edge techniques. Whether you're a data engineer, architect, or analyst, you'll find valuable insights to level up your data game.
Modern patterns, design principles, and architectural decisions for scalable data systems.
Comprehensive approaches to managing data as an enterprise asset with proper governance and quality.
ETL/ELT pipelines, data processing frameworks, and engineering best practices.
Building trust, accountability, and compliance into your data culture and processes.
Implementing robust security frameworks, encryption strategies, and compliance measures for data protection.
Leveraging generative AI and machine learning for intelligent data processing and automated insights.
A deep, architectural walkthrough of what actually breaks β and what replaces it β in the GenAI era
Why I'm spending the next 10+ weeks relearning my job β and why you might want to follow along
Why this series exists β and why now. A 10+ week journey exploring the architectural shift happening between data and AI.
Data governance isn't just a compliance checkbox. It's a shared culture where every team member owns the quality, security, and purpose of data.
Transparency isnβt just about compliance β itβs about building trust, loyalty, and competitive edge in a data-driven world.
Ethics is not a patch for when things break. It is a principle that should shape every data decision from day one.