Learn how data sovereignty, local AI and hybrid architecture can help enterprises govern sensitive workloads, control costs ...

In today’s evolving technological landscape, a solid understanding of the progression of data and application architecture is an important part of the technology leader’s role. By embracing modern ...

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. “It’s amazing to see some of these technologies come back around,” Serra said.

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

<?xml encoding="utf-8" ?> Palantir Technologies Inc. PLTR is widely treated as an artificial-intelligence stock, but one ...

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Readiness in Enterprise Data Architecture' survey. Stronger results depend on a three-part 'readiness stack': the data foundation, operating architecture, and governance discipline.

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 ...

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 ...

Many people believe data architecture and information architecture are one and the same. But this misconception among data management leaders and their teams results in poorly designed architectures ...

Data center architectures are becoming increasingly customized and heterogeneous, shifting from processors made by a single vendor to a mix of processors and accelerators made by multiple vendors — ...