A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

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 ...

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 ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spec‑Driven Development shifts AI‑augmented ...

The rise of machine learning and automation, coupled with an increased availability of data, has led to a renaissance in data analytics. Bloomberg’s rapidly growing Data Services Engineering team is ...

India’s data engineering boom in 2025 is driving the backbone of the digital economy. With market size projected to exceed USD 42 billion, demand for skilled engineers outpaces supply, pushing ...