SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

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 ...

Microsoft today introduced the launch of Azure Data Lake Analytics, a new cloud-based service for running queries on big data stored in the Microsoft’s growing public cloud. It uses a new ...

Overview: AI-driven SQL tools reduce query creation time from 20 minutes to seconds, helping teams answer business questions ...

Thanks to the technology behind ChatGPT, it’s become surprisingly simple to query a data set in plain English. As with most generative AI, results from OpenAI’s API are still imperfect, which means ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...

Exploring data using natural language ("plain English") query expressions isn't a new concept, but it has become more relevant and more feasible lately. People are used to search engines and like the ...

The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. Read now Fifty years ago, relational databases were neither ubiquitous nor standardized.

SQL is about as easy as it gets in the world of programming, and yet its learning curve is still steep enough to prevent many people from interacting with relational databases. Salesforce’s AI ...