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, ...

Abstract: The growing volume of performance-critical parameters in distributed storage systems, coupled with diverse and dynamic workload patterns, has significantly increased the complexity of system ...

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 ...

Google’s query fan-out technique issues multiple background searches based on initial question. This system is active across AI Mode, Deep Search, and some AI Overview results. The approach relies on ...

Self-hosting your data and services with Network Attached Storage (NAS) is a great way to free yourself from the spiraling costs and tangled web of subscription fees. Whether you’re simply looking to ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

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 ...