Stream computing combines data streams with an increasingly broad range of applications designed to help businesses solve problems of all kinds. Learn more about how you can capture data streams and infuse them into your applications.
When customers or other key stakeholders expect to be able to connect with an organization instantaneously, extremely low latency, high throughput data and analytics flows and execution are absolutely essential. The advent of the Internet of Things is among several key drivers of the emergence of
Streaming analytics is becoming ubiquitous as data streams from a range of sources, including the Internet of Things, are now mainstream. Although streaming analytics is not a new technology, it is well suited for today’s real-time, low-latency business and consumer applications. And today’s data
A shift from queries to real-time actionable insight
Complex event processing: Roots and origins
The need for speedy actions and timely responses is of paramount importance across all industries, but the financial industry is in league of its own. The stakes are high for traders on Wall Street
It seems like a “Back to the Future” moment. Here we are with the IBM InfoSphere Streams v3.2 announcement, the latest version of our product for handling stream computing and complex event processing. Yet 5 years ago this month, we had IBM System S v3.2. Looking back, we had three manuals for
Quality-of-service (QoS) is one of the most paradoxical metrics in the telecommunications industry. “Quality” of the customer experience is normally measured through surveys and logged feedback, but plenty of data can lead to good quantitative measures.
In this “Talking Big Data” podcast, IBM's product manager of InfoSphere Streams, Roger Rea, spoke with IBM's social media lead for big data, David Pittman, on complex event processing and stream computing, and discussed whether or not these terms are interchangeable.
Rea first dives into defining
What is “event processing”? What are the similarities and differences between complex event processing and stream computing? Why would you want to use these techniques? Roger Rea, IBM InfoSphere Streams product manager, answers these questions and others.