Artificial intelligence has become embedded in nearly every operational layer of modern institutions. It parses docume ...

The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...

From AI-driven attacks to cutting-edge vector search capabilities, 2026 is redefining how we secure, optimize, and manage SQL databases. New SQL Server features, evolving threat landscapes, and modern ...

For most enterprise applications, vector support is a feature that should be woven into the existing data estate, not a ...

Microsoft today announced the general availability of the open source Data API builder (DAB), which provides REST and GraphQL endpoints for Azure databases, some three years in the making. The ...

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...

If you are building a simple dashboard or a form-based application, the traditional JSON API (REST or GraphQL) approach is ...

Data silos remain one of the biggest barriers to analytics, AI, and true self-service. Despite continued investment in cloud platforms and modern data stacks, many organizations still struggle to ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

OncoRisk provides a unified platform for multidatabase queries, semi-automated clinical reporting, and cohort-level analysis, facilitating the translation of cancer genomic data into clinical insights ...

A database is one or more sets of data, for example numbers, characters and images, bundled together with software that enables data to be added, removed or retrieved. Databases can be used to store ...