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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Cory Benfield discusses the evolution of Swift from an app language to a critical tool for secure, high-scale ...

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 ...

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 ...

Amazon Kinesis Analytics, announced at AWS Summit New York is the latest addition to the Amazon Kinesis family of streaming services. This stream processing service, which plugs a significant gap in ...

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 ...

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 ...

Once your C-suite acknowledges the value of events-driven processing, the next logical step is to transition your organization to programming that supports the strategy. The most promising emerging ...

Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

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 ...