Abstract: The widespread adoption of database middleware for supporting distributed transaction processing is prevalent in numerous applications, with heterogeneous data sources deployed across ...
The shift to stateful AI workloads has exposed the limits of many existing data architectures. Autonomous agents continuously plan, adapt, and take action across tools and APIs, producing extreme ...
If your “microservices” still deploy like a monolith, maybe it’s time to break free with a truly composable AWS architecture. In today’s fast-paced digital landscape, building agile, scalable and ...
It seems like with this library as it is today, we could use Burla's remote_parallel_map and perform highly scalable, efficient distributed SQL processing on Xarray data. I think this could help us ...
In its new Magic Quadrant for Distributed Hybrid Infrastructure (DHI), Gartner captures a market that's entering a redefinition phase -- not just expanding, but reshaping how enterprises think about ...
When using Agroal and Jakarta Transactions, within the context of a transaction (e.g. using @Transactional), you can request a connection to the DataSource multiple times, and be guaranteed to always ...
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