Two decades ago, using a “borderless Cloud” to house data felt like an exciting innovation. And in reality, it was. Companies jumped at the ability to create, store, and organize their data in the ...
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 ...
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 ...
At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...
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 ...
Nobody files a ticket that says “our architecture has an abstraction problem.” They file tickets saying the data is wrong, or ...
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.
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Standalone GPUs are being replaced by heterogeneous SoCs and chiplets that combine CPUs, GPUs, and NPUs to eliminate memory ...
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 ...
As enterprises move from pilots to production, an AI Data Platform approach keeps data ready, governed, protected, and close ...