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 ...

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 ...

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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 ...

Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...

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 ...

Businesses are racing to harness sprawling data across multiple cloud platforms. Ashitosh Chitnis stands at the forefront of this movement—an architect of scalable, enterprise-grade data solutions ...

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 ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.