For each possible input data source, we will need to define the SQL schema and make available for the authors. For example, study data, define xml (dataset, variable, and VLM metadata), library ...
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.
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 ...
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 ...
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 ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
OpenAI’s ChatGPT Search officially launched and generative engine optimization (GEO) just became a lot more important. Most of the major players in generative AI search – ChatGPT, Perplexity and ...
Abstract: Text-to-SQL is a important task for database-related applications, which automatically translates users’ questions into SQL queries for database. Recently, the large language models (LLMs) ...
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