Overview: AI-driven SQL tools reduce query creation time from 20 minutes to seconds, helping teams answer business questions ...

AI is changing how developers and analysts write, debug, and optimize SQL — from natural language query generation to intelligent schema-aware assistance. Tools like Oracle APEX AI Assistant, Claude, ...

Storm-2949 turned stolen credentials into a cloud-wide breach, moving from identity compromise to large-scale data theft ...

Artificial intelligence agents have a memory problem and now Redis Inc., the database management startup, is trying to fix ...

Explore a realistic, honest timeline to become job-ready in data analytics, covering skills, tools, projects, and career ...

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

AI agents are set to transform the workplace, but companies need to take a key step to ensure success.

By integrating long-term memory, embeddings, and re-ranking, the company aims to improve trust in agent outputs.

Dell Technologies World 2026 keynote: why time to token and cost per token are now the essential metrics for enterprise AI ...

Cloud-native data analytics startup Sigma Computing Inc. has closed on an $80 million Series E funding round that doubles its ...

FAANG data science interviews now focus heavily on SQL, business problem solving, product thinking, and system design instead ...