In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live ...
The exponential growth of digital data is being driven by a number of factors, including the burgeoning Internet of Things (IoT) and an increased reliance on complex analytics extracted from extremely ...
The programs that were developed with the help of data systems had been created to transmit data elsewhere in a consistent ...
Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...
AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
Modern CX depends less on where data lives and more on how signals, AI, and governance come together at decision time.
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 ...