Overview: AI-driven SQL tools reduce query creation time from 20 minutes to seconds, helping teams answer business questions ...

The purpose of the job is to plan, manage, administer, and secure system databases, troubleshoot database issues affecting system performance, and ensure data quality across the databases. As an SQL ...

It’s time to switch to a new development tool for SQL Server and Azure SQL. Here’s how to get started with the MSSQL ...

Oracle ERP’s analytics ecosystem—featuring OTBI, BI Publisher, and Fusion Analytics Warehouse—can turn raw transactional data into real-time, actionable insights. By combining effective KPI dashboard ...

Abstract: The goal of the Cross-domain Text-to-SQL task is to accurately translate natural language questions into executable SQL queries, even when applied to previously unseen databases. Recently, ...

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 ...

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Autonomous index tuning (“auto-indexing” for short) has recently started being supported by cloud database service providers. Index tuners rely on query optimizer’s cost estimates to recommend indexes ...

Background: The integration of large language models (LLMs) such as ChatGPT into healthcare can have significant implications for patient education and clinical decision-making. Aims: This systematic ...

Observability practitioners may be familiar with using one query language for logs, another for metrics and another for traces and application performance monitoring. That can sometimes pose ...