After launching as a digital business card that doubled as a lead capture tool for sales teams, Birmingham, Alabama-based ...
(MENAFN- EIN Presswire) EINPresswire/ -- Devart, a leading developer of database management software, recently announced the release of dbForge 2025.3, the latest update to its unified ecosystem of ...
AI construction technology company Buildots announced the launch of Dot, an interactive AI assistant for construction process management that answers questions with up-to-date information about the ...
NEWARK, Del.--(BUSINESS WIRE)--ImageKit, a unified image and video API platform with integrated Digital Asset Management (DAM), today announced the launch of its Model Context Protocol (MCP) Server, ...
Are you excited about using technology to learn, teach, and be more productive? When you apply technology to purpose you can improve the way we communicate, learn, and share knowledge. Welcome! My ...
The HR Resource Query Chatbot is an AI-powered assistant that helps HR teams quickly search, filter, and recommend employees based on skills, projects, experience, and availability. It uses a ...
We take pride in delivering innovation with each new version of Microsoft SQL Server. However, there comes a time when product lifecycles must conclude. On July 14, 2026, SQL Server 2016 will reach ...
Abstract: Nowadays, SQL (Structured Query Language) is widely taught in professional schools and colleges across the globe. SQL is an efficient domain-specific language for managing and querying ...
At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...
CNBC is now accepting nominations for the 2026 Disruptor 50 list. Submit a nomination before February 23. Ambience Healthcare on Tuesday announced a new medical coding AI model that outperforms ...
As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...
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?