Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

SQL Server 2025 is introducing AI-native capabilities alongside new approaches for secure integration with large language models. Enterprises can now run local AI models such as Llama 3 via Ollama for ...

PolyBase, a data virtualization feature for SQL Server, allows users to seamlessly query data from various external sources directly using T-SQL (Transact-SQL) without the need for separate client ...

Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data. SQL often struggles when it comes to managing massive amounts ...

With SQL Server 2016, it now makes sense to store JSON objects in your database (even though there’s no JSON datatype). Here’s how to query JSON properties to find the rows you want. It’s not unusual ...

Ahana Cloud for Presto turns a data lake on Amazon S3 into what is effectively a data warehouse, without moving any data. SQL queries run quickly even when joining multiple heterogeneous data sources.

One way that organizations are storing data in the cloud is by moving their databases to the cloud. What once meant building an entire physical server, patching it, installing software like Microsoft ...

Redpanda, the real-time data platform for the agentic enterprise, is releasing the Agentic Data Plane (ADP)—a new suite for safely connecting AI Agents across the growing digital workforce. According ...