AI has been reshaping how operations-heavy companies think about data infrastructure, and it could fundamentally reshape ...

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, ...

Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture.

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 ...

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 ...

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 ...

From AI and machine learning, to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting an organization’s data-driven goals. Greater speed, flexibility, ...

Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...

CHICAGO--(BUSINESS WIRE)--Today, DataForge, a leading data architecture solution provider, introduces the market’s first scalable, automated, and prepackaged data architecture platform. Tailor-made ...

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