Bridging Data Engineering and Security: A Shared Responsibility Model

Designing secure data solutions isn’t inherently difficult. But implementing them in a modern enterprise? That’s a different story. It requires collaboration across data engineering, infrastructure, identity, security, DevOps, and cloud operations teams—each with their own priorities, vocabulary, and processes. We’ve seen this disconnect play out time and time again: a data engineering team engages the

Curb Appeal, A Good Foundation, and Avoiding Expensive Makeovers in Your (Data) Lakehouse

Good foundation for data lakehouse

I love home improvement, DIY blogs, and a good ‘rags to riches’ renovation. This blog isn’t about that. This is about my other love, data, and the ways in which organizations can continue to use data structures to save time, money, and resources while elevating their employees to higher levels and more rewarding tasks. This


Where Will You Take AI with Data?

Deliver AI That Gets Adopted.

Build Data Products. At Scale.

Use Data Governance to Fuel AI.

Ensure Trusted, Explainable AI.

Launch a GenAI MVP. Prove Value.

Let’s Talk. No Pitch. Just Strategy.

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