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.
Explore the transformative shift from single LLMs to collaborative Multi-Agent Systems. Learn how autonomous agents are reshaping enterprise AI with real-world examples, architecture patterns, and measurable ROI.
A deep dive into Large Language Models for data architects and engineers. Learn tokenization, transformer architecture, attention mechanisms, and practical prompt engineering techniques.
A deep, architectural walkthrough of what actually breaks — and what replaces it — in the GenAI era
Why I'm spending the next 10+ weeks relearning my job — and why you might want to follow along
Why this series exists — 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.