Why Integration Is Essential for Modern, Real-time Applications
Integration is the only way to ensure that your real-time data is being used at the right time, in the right context, to help people make better
The ability to continually calculate statistical analytics within constant streams of multiple data coming from devices, sensors, websites, social media, and other applications.
Integration is the only way to ensure that your real-time data is being used at the right time, in the right context, to help people make better
Organizations are increasingly opting for an analyze-then-store method for streaming data, according to a new survey by
As the need for real-time data expands, organizations will need to operate all three of these meshes at internet scale with enterprise-grade capabilities.
A discussion of the benefits Apache Pulsar brings versus other streaming technologies, and how companies are using it.
API-based open banking initiatives are quite common around the world. However, the degree of openness varies greatly from country to country based on the …
Organizations are using event-driven architectures, Apache Kafka, Apache Pulsar, and other streaming technologies to handle the glut of event messages they …
Harnessing data streams — joining both batch and real-time events — empowers data scientists and analysts to address sophisticated
Why Apache Pulsar is the right choice for multi-datacenter, geo-distributed
In this week's real-time analytics news: IBM intros its first processor with on-chip real-time AI inferencing acceleration, NVIDIA offers a software suite to …
Because of the more open and dynamic nature of universities and colleges, the need for CI is even greater than that of some businesses.