Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

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 ...

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 ...

Data foundations were never designed to support intelligent workloads at scale, but unified data lakehouse architecture might ...

AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of 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 ...

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 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 — ...

The Automotive Edge Computing Consortium (AECC) today announced the release of its latest white paper, "Data-First Architecture for Data-Driven Automotive Service Development." Developed by the AECC ...