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The most important test of a data architecture is not how it performs on day one. It is how it behaves when the business changes.

In the first quarter of 2025, nearly 60% of DBTA subscribers told us they were actively researching GenAI with LLMs, including RAG and knowledge graphs. On top of this, when asked which technologies ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

Redis Iris launches as enterprises shift from RAG to runtime context — hybrid retrieval intent tripled in Q1 2026 as agent ...

Digital transformation. Infrastructure modernization. Global data center demands. All these forces and more are driving enterprises around the world to seek out next generation cloud-based ...

A data modernisation partnership between Hammerspace and Vanderbilt University's HPC research facility has overhauled scientific discovery capabilities with a 10-petabyte environm ...

It is that centralized data aggregation creates targets whose compromise is, sooner or later, inevitable. The 2021 Maryland ...

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 ...

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 ...

An open, services-oriented approach has clear advantages for building modular and scalable applications. We should take the same approach to our data. Data analytics solutions are continuing to emerge ...