Stream processing acts on the constant flow of real-time data allowing businesses to shift their operations toward real-time
Topic: Stream Processing
This big data technology lets users query a continuous data stream and detect conditions — within a few milliseconds to minutes — after receiving that data (i.e. flow of events); processing data in motion, or computing on data directly as it’s produced or received.
Retailers are looking to stream processing to personalize offerings in real time, activate dynamic pricing, and more.
Stream processing is transforming how the most ambitious financial services companies serve customers and how they operate in complex, always-changing …
Gartner: Real-time stream processing is not the future. It's been underway for maybe as much as 20 years. However, we're only halfway through the revolution.
By understanding the particular strengths of RabbitMQ and Apache Kafka, you can ensure that you’re using the right message queue platform for your use
Although CDC is not new, modern demands for real-time ingestion and serving the freshest possible data to applications gives you an opportunity to re-evaluate …
To work with streaming edge data requires a modern data architecture built on next-generation databases, data pipelines, and streaming data
Many streaming apps use cases help businesses first understand what is going on, and then provide the insights into what to do about
InfinyOn has architected a platform for data in motion that uses SmartModules to enable enterprises to program their data pipelines for real-time services.
Uber's new ad processing system was built with open-source technologies and an innovative exactly-once semantic system for accuracy and