A model can be swapped out in a quarter. A data architecture takes years to rearchitect and a genuinely frightening amount of ...

For decades, organizations have approached data architecture with a monolithic mindset—centralized platforms, complex codebases and rigid structures. While these systems were built with the noble goal ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. David Chisnall discusses how the CHERI ...

Data architecture is a discipline that documents an organization's data assets, maps how data flows through IT systems and provides a blueprint for managing data. Its goal is to ensure that data is ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...

Business leaders often frame the role of data architectures around competitiveness, scalability and efficiency. But those benefits no longer capture its most critical role: Risk management. Today, ...

Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic ...

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...