MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Every time someone orders food online, checks exam results, or streams a video, new data is created and saved. Behind these activities are large databases that store millions of records. These ...

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

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

Constructing the truly modern data application, capable of driving data-informed decisions across the organization, requires a lot of effort. To dramatically improve productivity, operational ...

At Microsoft Build 2025, we announced the public preview of SQL Server 2025. Built on a foundation of best-in-class security, performance, and availability, SQL Server 2025 empowers customers to ...

What is the default strategy for planning and optimizing queries with joins: How does the engine decide the physical join type (e.g., sort-merge join vs. hash join)? How is the join order determined?

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Learn how to optimize SQL queries for better performance. This guide is designed for TiDB SQL tuning beginners. It focuses on the following key principles: Low entry barrier: introducing tuning ...

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...