Abstract: Text to SQL technology is to convert natural language problems into corresponding SQL statements to help users query massive data from the database. This paper introduces the construction of ...

In most enterprises, data access still feels like a locked room with SQL as the only key. Business teams depend on data engineers for every report, dashboard, or metric tweak. Even in the age of ...

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Microsoft SQL Server is a database management system that is mainly used store and retrieve requested data across a network. It’s purpose more closely aligns with software developers and not so much ...

While data warehouses and cloud-native architectures have grown rapidly, business users are still finding it difficult to reach enterprise data. Even as dashboards and query tools become easier to use ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

Despite its steep licensing costs, SQL Server continues to prove its worth over open-source alternatives in some key areas. SQL Server is an expensive part of your IT stack -- SQL Server Enterprise ...