Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Abstract: In recent years, the integration of natural language processing (NLP) with database querying has led to the emergence of Text-to-SQL systems, which enable nontechnical users to interact with ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

Thomas LaRock: "Without a basic understanding of wait events and how the occur, you will waste a lot of time trying and guessing at how to improve the performance of a query." Optimizing SQL Server ...

Modern database systems rely on cost-based query optimizers to come up with good execution plans for input queries. Such query optimizers rely on cost models to estimate the costs of candidate query ...

It’s not every day that a security researcher acquires the ability to generate counterfeit HTTPS certificates, track email activity, and the position to execute code of his choice on thousands of ...

SQL Server Management Studio or SSMS allows you to connect to the SQL server and execute queries. In this tutorial, we will see how you can install and configure SQL Server Management Studio in ...

Google’s AI Overviews now appear less than 7% of the time. This is one of 10 noteworthy findings from a new analysis of AI Overviews. This data was shared with Search Engine Land by enterprise SEO ...