Overview:  BigQuery demand is rising in 2026 as more companies rely on cloud data platforms for decision-making.The right ...

The gap between human and AI performance on database tasks will shrink over time, but more complex problems will still ...

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

This article explores how performance-focused code review works, what reviewers should look for, and how teams can prevent slowdowns long before users complain.

Abstract: Large Language Models have greatly enhanced the Text-to-SQL task. In this paper, we propose AES-SQL, an LLM-based approach based on few-shot Learning. We adjust the structure of the adaptive ...

Abstract: Large language models (LLMs) are being woven into software systems at a remarkable pace. When these systems include a back-end database, LLM integration opens new attack surfaces for SQL ...

A multi-round investigation agent for Akamai WAF (SIEM) and CDN (DataStream 2) logs, stored in TrafficPeak (a managed data platform with a ClickHouse-compatible interface), that turns natural-language ...

AI chatbots learn more about us with every interaction. They can therefore tease out patterns in our thinking. They're no substitute for a friend or therapist, though. "You're the kind of person who ...

Getting ready for a SQL interview can feel like a big task. There are so many things to know, and interviewers love to ask about them! This guide is here to help. We’ve gathered some of the most ...