Python makes it simple to integrate with both relational and non-relational databases, enabling you to build robust, data-driven applications. With connectors for SQLite, MySQL, PostgreSQL, and ...

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 a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define ...

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 ...

Existem várias ferramentas de IA e assistentes inteligentes que ajudam a criar diagramas de esquemas (schemas) para planejamento de sistemas, como bancos de dados, arquitetura de software e fluxos de ...

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.

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

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 ...

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 ...