A monthly overview of things you need to know as an architect or aspiring architect. Traditional caching fails to stop "thundering herds" where multiple clients trigger the same work during a miss.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Traditional databases focus on data after it has been stored. Stream ...

SAN FRANCISCO--(BUSINESS WIRE)--MapR Technologies, Inc., provider of the industry’s only Converged Data Platform, today announced at Kafka Summit 2016 it is now offering stream processing training via ...

This guest post comes from Neha Narkhede, co-founder and CTO at Confluent, a startup focused on Apache Kafka and founded by its creators. Data systems in the modern world aren't islands that stand on ...

On Confluent Cloud for Apache Flink ®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

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Abstract: With real-time streaming analytics there is no room for staging or disk. Learn the best practices used for real-time stream ingestion, processing and analytics using Apache® Ignite™, ...

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

Apache Flink is made for applications that continuously apply the same business logic to a series of inputs. That’s most business applications By Fabian Hueske and Stephan Ewen, committers and PMC ...