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Architecting data and AI systems that remain explainable, governable, and trusted at scale
In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...
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 ...
In a recent Views & Comments column published in Engineering, researchers Jinghai Li and Li Guo from the Chinese Academy of Sciences offer profound insights into the future development of data science ...
There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...
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 ...
The frightful fall season of Halloween is upon us. This means spooky things are on the rise. It’s right to be wary of things that bump at night or in the day when looking at the tangle of legacy data ...
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