Probabilistic graph query processing techniques address the challenge of querying networks in which the presence of nodes or edges is uncertain. Such graphs arise in domains as varied as ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

On the occasion of receiving the most influential test-of-time paper award for his POPL 2011 paper (which describes the technology behind the popular Flash Fill feature in Excel), Sumit shares stories ...

Abstract: Natural Language Processing (NLP) is key to enabling intuitive interaction with structured data, especially via natural language interfaces for SQL query generation. However, accurately ...

This package provides utilities for building SQL query strings in a safe, composable, and parameterized manner. It is designed to prevent SQL injection vulnerabilities and enhance code readability ...

Query string parsing is a bit of a mess right now. Parsing should be done only once, and results stored in an std::map in "struct request". This needs to work both for fcgi, as well as unit tests.

DBeaver is a free, open-source, cross-platform SQL client and database administration tool. It is designed to support a wide variety of SQL and NoSQL databases, including MySQL and PostgreSQL. Its key ...

Abstract: The rapid rise in spatial data volumes from diverse sources necessitate efficient spatial data processing capability. Although most relational databases support spatial extensions of SQL ...

Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data. In May 1974, Donald Chamberlin and Raymond Boyce published a paper on ...

We describe a technique and a tool called Qex for generating input tables and parameter values for a given parameterized SQL query. The evaluation semantics of an SQL query is translated into a ...