IEEE

IRAM-SQL: A Language Model Integrating Relation-Aware Mechanism for Text-to-SQL

Abstract: The task of text-to-SQL aims to convert natural language questions into executable SQL queries within relational databases. This greatly enhances the usability of relational database ...
GitHub

SQLBarber: Leverageing Large Language Models Generate Customized and Realistic SQL Workloads (SIGMOD 2026)

Database research and development often require a large number of SQL queries for benchmarking purposes. However, acquiring real-world SQL queries is challenging due to privacy concerns, and existing ...
Analytics Insight

SQL Developer in 2026: Roles, Skills, and Career Path Explained

Overview: SQL developers manage structured databases that power payments, healthcare, retail, and cloud systems.Cloud ...
InfoWorld

The revenge of SQL: How a 50-year-old language reinvents itself

Prototyping is my favorite part of programming. I like building new stuff and getting things working. It’s no surprise, then, that I am a big fan of MongoDB and NoSQL in general. Don’t get me wrong: I ...
GitHub

A powerful FastAPI-based REST API that converts natural language questions into SQL queries using OpenAI's language models and LangChain.

The API implements a sophisticated multi-stage pipeline to efficiently convert natural language questions into SQL queries. The pipeline leverages multiple caching layers and entity extraction to ...
IEEE

uitSQLid: SQL Injection Detection Using Multi Deep Learning Models Approach

Abstract: Injection attack is the most common risk in web applications. There are various types of injection attacks like LDAP injection, command injection, SQL injection, and file injection. Among ...