Nitro.js is a JavaScript-based HTTP server. It builds on state-of-the-art components, focusing on performance, convention, and deployment. As a JavaScript developer, you want to know about Nitro ...

Let's follow up the last column with a step-by-step breakdown shows how the PowerShell script automates SQL Server backups, manages retention, logs activity and verifies data integrity.

Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and Apache Spark in one place. Readers might note that other prominent vendors in ...

Oracle has recently announced MySQL AI, a new set of AI-powered capabilities available exclusively in the MySQL Enterprise edition, targeting analytics and AI workloads in large deployments. Concerns ...

Databricks is on the hook to pay at least $100 million to OpenAI in this deal, even if customer usage falls short. It's a bet, but one that Databricks has already hedged.

Skyvia MCP Server makes customer data available to AI tools via the open Model Context Protocol (MCP), so AI assistants can securely analyze, summarize, and act on CRM, ERP, databases, and more in ...

Databricks shows enterprises how to get frontier AI performance for 90x less cost through breakthrough automated prompt optimization.

Asynchronous I/O, OAuth authentication, expanded SQL standards support, and new extension capabilities give developers faster performance, stronger security, and greater flexibility.

OpenAI’s models will soon be part of Databricks' tools, as well as available both in SQL or via API. Here's what the latest big deal accomplishes.

Data science is sometimes described as a diverse field. It differs from data analytics in that it calls for domain understanding in addition to strong coding ab ...

"No Plan B: Let's Talk About the Unique Nature of BI." We are increasingly aware of the importance of data to AI, but data itself cannot be directly linked to AI. What we need is data that has been ...

No-code apps speed innovation but create hidden risks. Here are four ways enterprises can secure data flows without slowing employee-driven development.