Recent work under the INTEND project and the paper " Intent-Based Data Operation in the Computing Continuum " points in the ...

Stormwater that runs off buildings and paved streets frequently carries high levels of pollutants into rivers and lakes, some of which serve as sources of drinking water. Rain gardens, green ...

This Research Topic highlights recent advances in fractal geometry, fractional calculus, and artificial intelligence (AI) for addressing complex problems in ...

It has likely never been a more exciting or uncertain time to be a data professional. The field is being reshaped by long-building trends that have reached critical mass alongside rapid advances in ...

In today's data-centric world, the ability to harness and transform data into actionable insights is a critical differentiator for business success. Kiran Jagannadha Reddy, a Senior Data Engineer, has ...

Model-Driven Security Engineering for Data Systems represents a structured methodology that integrates security into the early stages of system and database development. This approach leverages ...

In an era defined by technological advancements, the construction industry is undergoing a transformative shift. Discover real-time challenges and opportunities faced in implementing data-driven ...

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 ...

In a world where data is the key to business success, data engineers are the architects of transformation. Harsha Kamma is one such architect, driving groundbreaking change in how companies handle ...

Multiple 2026 data engineering guides from industry sources outline a skills roadmap emphasizing Python, SQL, cloud platforms, orchestration tools, and AI-driven data integration. The evolving ...

Modern enterprise data platforms operate at a petabyte scale, ingest fully unstructured sources, and evolve constantly. In such environments, rule-based data quality systems fail to keep pace. They ...