IBM Stream V4.3 is poised to deliver new capabilities that enable enterprises and applications to react to events as they happen—or even before.
Sharpe Engineering has built a successful business by using IBM Streams to help its clients solve a wide range of problems. With real-time analytics, you can capture, integrate, analyze, and report the data in real-time as it comes in.
Today’s generation of cognitive and analytical solutions pack a powerful punch, thanks to their ability to deliver insights as they are requested by decision makers or systems. Many of today’s game-changing solutions provide in-depth insights – ranging from understanding customer intentions, to healthcare measures, to systems performance – at the moment they are needed, which is often in real time. Cognitive and analytics systems can dive deep to draw and deliver inferences on behaviors and patterns.
Message Hub provides a simple communication mechanism built on Apache Kafka, enabling communication between loosely coupled Bluemix services. This article shows how to communicate with Message Hub from the Streaming Analytics Bluemix service using the messaging toolkit.
The Streaming Analytics service in the IBM Cloud is an advanced analytic platform allowing user-developed applications to quickly ingest, analyze, and correlate information as it arrives from a wide variety of real-time data sources. Today, an enhanced version of the service has been released as a beta, to introduce some exciting new features.
From dreams to streams: turning the vision of streaming analytics into practical business reality with IBM Streams Designer
Today’s web is a much more open place than ever before—most social networks and other web platforms offer public APIs that allow anyone to request and use data on a scale that would have been unthinkable just a few years ago.
There’s a lot of hype around the possibilities of stream computing. It seems like everywhere you look, more and more organizations are touting the benefits of capturing and analyzing large volumes of data at high velocity—and increasing numbers of streaming analytics solutions, both commercial and open source, are flooding the market.