Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

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 ...

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.

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 ...

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 ...

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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 ...

After diving into the desktop-as-a-service market and tackling mobile UX on Day 2 of re:Invent 2013, Amazon is going after cloud analytics in a two-pronged offensive against enterprise vendors. On the ...

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™, ...

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 ...