From cloud data warehouses and lakehouses to real-time data processing and streaming, the data architecture landscape continues to evolve rapidly. Right now, the majority of DBTA subscribers have ...

But in today’s data-driven world, gaining a competitive ... a cornerstone of the open-source ecosystem. For event-driven architecture — the kind of system essential for stream processing — you need ...

The ISG Buyers Guides™ for Real-Time Data are the distillation of more than a year of market and product research efforts. The research is not sponsored nor influenced by software providers and is ...

Full streaming support for the headless data architecture requires additional ... replicating metadata from the Iceberg catalog, so your processing engine can figure out where the files are ...

--(BUSINESS WIRE)--DeltaStream, Inc., a leader in serverless stream processing ... with data teams navigating a fragmented ecosystem of tools and architecture. DeltaStream Fusion eliminates ...

it's very hard to make it work with an unbounded data stream. In the domain of microservices, a concept related to event-driven processing is event-driven architecture, as opposed to request ...

Stream processing is a data management technique that involves ... Moreover, RisingWave’s cloud-native architecture means it can leverage the elastic resources of cloud providers.

Data streaming vendor Confluent has also revealed its cloud-native Flink service, with the aim of making it easier to build applications with stream processing ... it’s really just kind of showing the ...

Additionally, Iceberg supports real-time data processing, making it well-suited for streaming use cases where data freshness is critical. By allowing real-time updates and schema changes ...

Uber, for example, uses a Kappa-like approach to process ride events in real time, then reprocesses data for billing adjustments. The Delta/Medallion architecture unifies batch and stream processing, ...