Data engineering is the process that makes it usable. It involves moving, cleaning, and organizing. This creates the foundation for BI and analytics. The goal is to replace guesswork with facts. That ...

The rise of artificial intelligence(AI) is fundamentally changing the world of data analytics and data engineering. Advanced AI systems—AI agents that autonomously act, starting to change how ...

As a data engineering leader with over 15 years of experience designing and deploying large-scale data architectures across industries, I’ve seen countless AI projects stumble, not because of flawed ...

The role of data engineering has evolved dramatically. In the past, it was primarily operational, focused on ensuring the smooth functioning of data pipelines, accurate dashboards, and timely delivery ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

The data landscape experienced significant changes in 2023, presenting new opportunities (and potential challenges) for data engineering teams. I believe we will see the following this year in the ...

AIM Media House brings the Data Engineering Summit 2026 to Bengaluru, uniting engineers and leaders to explore the frameworks ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Subbiah Sundaram, senior ...

In today's digital landscape, where transactions occur instantaneously, ensuring security has become a top priority for businesses. One innovative method gaining momentum in fraud detection is the use ...

As this year comes to a close, experts have begun to look ahead to next year with predictions for how companies will manage ...