Krishnam Raju Narsepalle is recognized for his transformative work in data engineering and AI, leading innovative ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Data modeling has always been a task that seems positioned in the middle of a white-water rapids with a paddle but no canoe. On one side of the data modeling rapids are the raging agilists who are ...

This 12-part blog series is designed to answer this question by providing guidance on data modeling patterns for 12 common use cases. To help you get to a blog that can help you build now, the ...