The open source MySQL spin-off has steadily added features all its own. Here are five good reasons to switch to MariaDB.

A Department of Government Efficiency employee shared Social Security data without agency officials’ knowledge and in violation of security protocols, the Justice Department said in a court filing ...

You're eligible for a payout if your data was compromised in one or both of the two data breaches mentioned above. Emails are going out about the settlement; check your spam folders for an email from ...

AT&T's $177 million settlement is for data breaches in 2019 and 2024. Claim up to $5,000 (first breach) and $2,500 (Snowflake hack), or both. File your claim by Dec. 18, 2025, either online or by mail ...

Three questions to shape your strategy. by Suraj Srinivasan, Robin Seibert and Mohammed Aaser What if you were responsible for analyzing album, fan, social media, and merchandise data for more than a ...

Google Releases Data Commons MCP Server to Supercharge AI Agents Your email has been sent What is MCP? From queries to reports in a single step Testing the server in the field Building trust into AI ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

MCP Server enables AI agents to handle a full range of data-driven queries of Data Commons data sources, from initial discovery to generative reports, Google said. Looking to make public data access ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

We've decided to retire and archive this project - there's just no safe way to run Python within pyodide safely with reasonable latency. Instead, we're working hard on Monty which should solve the ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.