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 ...

Design and building enterprise data warehouses, and AI-driven solutions. As a data engineer and system integrator, I used to think the toughest challenges lived in SQL, schemas, and pipelines. Lately, ...

In this Microsoft SQL Server and JDBC tutorial, you'll learn how to connect to a Microsoft SQL Server in Java using JDBC. The steps are relatively straightforward: Each database is different, so ...

Over the past few years, database and analytics vendors have hopped on a bandwagon that may take us all to a destination where common data queries are free from the constraints of the specialist query ...

You shipped AI to production on a foundation you don’t trust. That’s not accidental. It’s structural. Our recently published 2026 State of Database Change Governance Report surveyed organizations on ...

The post Schema Confidence Gap: AI Data Quality Risks Explained appeared first on Liquibase: Database DevOps. You shipped AI to production on a foundation you don’t trust. That’s not accidental. It’s ...

1. What Are Schemas in Marathon? Schemas are special items that unlock the ability to purchase a specific weapon or piece of gear from the Armory for a limited number of uses. Each Schema is tied to a ...

Schemas are a fantastic way to supplement your gear if you're running low or if you want something outside of a free kit. Access to gear is paramount in Marathon, and Schemas are a fantastic, if ...

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...

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.