In a detailed engineering post, Yelp shared how it built a scalable and cost-efficient pipeline for processing Amazon S3 ...

With Coalesce Copilot's agentic chat interface built to understand workspace metadata, data engineers can build pipelines using natural language. As a result, teams can handle more change with fewer ...

Abstract: Automatically parsing SQL queries from natural languages can help non-professionals access databases and improve the efficiency of information utilization. It is a long-term research issue ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: ...

This series is a practical, no‑nonsense guide for senior leaders and leadership teams who want to understand why smart people do counterproductive things under pressure—and how to build sustainable ...

Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.

To learn more about our editorial approach, explore The Direct Message methodology. Over coffee with a growth lead at a Bay Area SaaS firm this spring, I asked how their newly launched knowledge hub ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...

Learn everything about organization schema, how it improves SEO, boosts visibility in search results, and how to implement it correctly on your website. Organization schema often gets a bad rap in our ...