Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Find out why the most important career in the 2026 AI revolution is data engineering. Discover the technologies that drive ...

Cockroach Labs, a cloud-agnostic distributed SQL databases with CockroachDB, today announced findings from its second annual ...

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

DEKALB, Ill. (WTVO) — DeKalb’s Planning and Zoning Commission has unanimously recommended approval of a data center project that promises to bring cutting-edge technology and sustainable practices to ...

A concise, hands-on repo to accompany the presentation “Modern SQL: Vector Search with Embeddings.” modern-sql-vector-search/ ├─ slides/ # Slide deck ├─ src/ │ └─ sql/ │ ├─ 01-schema.sql # Tables + ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Several Vector Capital limited partners such as Adams Street Partners, J.P. Morgan Asset Management, the External Investing Group at Goldman Sachs Asset Management, Angeles Investments, Lexington ...

Abstract: The vector database stores data as high-dimensional feature vectors. Some recently proposed attack techniques enable an adversary to launch feature vector inversion (FVI) attacks against ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

The first release candidate (RC0) of SQL Server 2025 is now available. As we move toward general availability, our focus shifts to delivering enhanced stability, performance, and product improvements ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...