Data Management and AI: Creating Value at the Edge
By applying edge-specific capabilities and AI integration at the data source, businesses can eliminate inefficiencies, gain greater operational awareness, and …
By applying edge-specific capabilities and AI integration at the data source, businesses can eliminate inefficiencies, gain greater operational awareness, and …
Many streaming apps use cases help businesses first understand what is going on, and then provide the insights into what to do about
Uber's new ad processing system was built with open-source technologies and an innovative exactly-once semantic system for accuracy and
Claypot AI founder, Chip Huyen, designs machine-learning systems that combine streaming data and batch processing to accommodate multiple data
Streaming, pipelining, and parallelization can be used to design applications to maximize the utilization of resources on a single node. Then, you can add …
The combination of Apache Kafka and Kubernetes helps developers create EDAs and real-time data pipelines that stream and integrate data between
Organizations are using event-driven architectures, Apache Kafka, Apache Pulsar, and other streaming technologies to handle the glut of event messages they …
RSocket enables long-lived streams of data to be sent across different transport connections. It is especially useful in environments where network connections …
Streamlio's co-founder and chief product officer talks about the next generation of stream processing and working with
dA Platform 2 promises centrally managed stream processing capability for enterprises and to manage hundreds of Apache Flink jobs in