Pragmatic insights on enterprise data architecture, AI implementation, and technology strategy from real-world experience.
A pragmatic look at what actually works in enterprise data architecture, cutting through vendor promises to focus on practical implementation strategies.
Real metrics from enterprise AI deployments show a different story than vendor presentations. Here's what you need to know before your next AI initiative.
Breaking down the total cost of ownership for cloud versus on-premise data solutions, including hidden costs vendors won't tell you about.
Practical patterns for building data pipelines that can handle enterprise scale without breaking the bank or your engineering team.
Most data governance initiatives fail. Here's a practical approach that balances compliance requirements with operational reality.
After two decades of building data platforms, I've watched countless projects fail because architects believed these eight lies about distributed systems.