SQL is still the connective tissue of every modern data stack—from cloud warehouses to mobile apps. Recruiters know it, too: employer demand for SQL skills grew 46% year-over-year, according to labour ...

Abstract: This paper presents NL2SQL-OLM, a novel framework for converting natural language queries to SQL statements utilizing DeepSeek-Coder large language model, that is integrated with automatic ...

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 ...

I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...

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.

We're trying to use SQL schema files from multiple Smart Data Model Git repositories and we've noticed that in some occasions unrelated enums with the same name are defined. This means that it is ...

Microsoft is making it easier to migrate to Azure SQL by taking the grunt work out of schema setup. A new update to Azure Database Migration Service (DMS) introduces a built-in schema migration tool ...

Snowflake is overvalued based on reverse DCF analysis, but long-term investors should see good returns due to its strong financials and business model. Snowflake offers a scalable, cloud-native data ...

This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...

Not urgent, and can be simplified by a future addition to Caqti. It can be useful to store SQL code for schemas in external files, rather than including it in the application code, esp. when it ...