A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...
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, ...
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 ...
Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...
Why modern observability systems fail during incidents, and how new architectures fix them.
In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...
Last year’s inaugural Supercloud event shed light on the accelerating popularity of multicloud infrastructures as a default enterprise standard and the eventual emergence of an eponymous supercloud ...
The persistent divide between what brands believe they are delivering and what customers actually experience comes down to ...
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 ...
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 — ...
From AI and machine learning to data discovery and real-time analytics, creating a strong data architecture strategy is critical to supporting an organization's data-driven goals. Greater speed, ...
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