Practice smart by starting with easier problems to build confidence, recognizing common coding patterns, and managing your ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

SQL remains the foundation for turning raw records into reports and business insights across industriesCore queries like ...

The Model Context Protocol (MCP) has quickly become the open protocol that enables AI agents to connect securely to external tools, databases, and business systems. But this convenience comes with ...

For decades, the "Master Resume" was the gold standard of job hunting. It was a comprehensive, chronological document—a ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Leaf Agriculture today announced the launch of LeafLake, a new product that brings data analysis to the forefront of Leaf's ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

Concourse has closed a $12 million Series A funding round while simultaneously making its AI agent platform generally available to finance teams of all sizes. The round was led by Standard Capital, ...

Ketan Karkhanis explains how ThoughtSpot is building out an enterprise intelligence layer for smarter AI agents, which can ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...