IntroductionThe way AI is used is expanding from a "tool to write code" to a "tool to fix code quickly, cleanly, and safely." ...

SQL' in Marketing Data Analysis and a New SolutionAre you tired of 'plausible but false SQL'?With the rise of generative AI, ...

Amazon Ads is adding specialized Expert Tools to its MCP Server, allowing third-party AI agents to perform more complex ...

Your WordPress website relies on a database to store information like posts, pages, settings, comments, and user data. Over time, this database can become cluttered with unnecessary data, slowing down ...

SQL autocomplete looks simple: Given the text around a cursor, predict what a developer is likely to type next. In production, however, SQL autocomplete is a demanding problem of both inference speed ...

This article contains in-depth descriptions of various intelligent query processing (IQP) features, release notes, and more detail. The intelligent query processing (IQP) feature family includes ...

Log Analytics is now Observability Analytics. Trace data within Observability Analytics is generally available (GA). The Observability API for management and configuration is GA. Together, these bring ...

Text-to-SQL (Text2SQL) is a foundational capability for natural language interfaces with structured data. By translating user queries into executable SQL, it empowers analysts, business users and AI ...

New Relic APM provides real-time monitoring and analytics for web and mobile applications, enabling businesses to track performance, identify bottlenecks, and optimize user experience through detailed ...

Abstract: Natural language interfaces to databases promise to democratize data access, yet current Text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.

Queries that use optional parameters often include predicates that conditionally apply filters based on whether a parameter value is provided. A common pattern is as follows: Traditional hinting ...