In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

I asked 5 data leaders about how they use AI to automate - and end integration nightmares ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Slator’s Data-for-AI Market Report identifies this shift as a structural change in the AI value chain, where competitive advantage is tied to data for adaptation, alignment, and evaluation rather than ...

CIQ, the founding support and services partner of Rocky Linux, is releasing C3 (CIQ Compatibility Catalog), a free, publicly accessible resource where anyone in the Rocky Linux ecosystem, from ...

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 ...

Datadog, Inc., a leading AI-powered observability and security platform, is releasing Datadog Experiments to customers everywhere—enabling teams to design, launch, and measure product experiments and ...

A genetic database is one or more sets of genetic data (genes, gene products, variants, phenotypes) stored together with software to enable users to retrieve genetic data, add genetic data and extract ...