Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

In this course, you will learn what Structured Query Language (SQL) and databases are, the basics of database management, how to set up and configure MySQL, and how to get MySQL client to connect to a ...

The Court of Justice of the European Union issued a decision 4 Sept. that provided clarity to the EU General Data Protection Regulation's definition of personal data when it is pseudonymized and where ...

The first release candidate (RC0) of SQL Server 2025 is now available. As we move toward general availability, our focus shifts to delivering enhanced stability, performance, and product improvements ...

Oracle Corp. today unveiled MCP Server for Oracle Database, a new Model Context Protocol offering that brings artificial intelligence-powered interaction directly into its core database platform to ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

Trump wants to create a master database on Americans. Palantir is the company he wants carrying it out. Credit: Jakub Porzycki/NurPhoto via Getty Images Last Friday, the New York Times published an ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

To clarify this objective, we need to first understand what the database does. When it comes to database, it always makes people think that it is primarily for storage since its name has a part “base” ...

The genetic testing company 23andMe — which allows users to spit in a tube and send away the sample for a detailed DNA analysis — is filing for bankruptcy. 23andMe has faced financial hardship for ...

Data extraction in evidence synthesis is labour-intensive, costly, and prone to errors. The use of large language models (LLMs) presents a promising approach for AI-assisted data extraction, ...