Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...

This year is an expansive one for the database ecosystems that have evolved around the major platforms. Artificial intelligence (AI), machine learning, the Internet of Things (IoT), and cloud ...

What have the Roman empire and the relational database got in common? Not too much at the moment I would suggest, but in a few short years I think we will be seeing an interesting similarity in their ...

NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost, scalability, ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Today, it takes months to build predictive models using machine learning — KumoRFM delivers results in seconds, with no manual effort. Kumo, cutting edge AI that can query the future ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

RelationalAI has long believed that a shared, open language for business and domain semantics is essential for trustworthy, intelligent applications,” said Molham Aref, CEO of RelationalAI. “Today, ...

When a conversation turns to analytics or big data, the terms structured, semi-structured and unstructured might get bandied about. These are classifications of data that are now important to ...

Modern biology depends on the collection, management and analysis of comprehensive datasets. Unlike the concerted efforts that drove the completion of the first genome projects, most current datasets ...