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
Roger Rea, product manager of InfoSphere Streams, explains what stream computing is, how it differs from event processing and CEP and gives examples of how companies are employing stream computing for real-time analyses and applications.
Most of us don’t think of big data as a personal resource for mobility, but, clearly, that thinking will need to change. Smarter mobility depends on the ability to serve all of our mobile devices from an intelligent big-data infrastructure
Compared to other industries, healthcare has been a late adopter of technology. To realize the true potential value of big data in healthcare, the industry will need major structural changes, including legislative reforms, incentives, privacy laws, reimbursement and incentive schemes.
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
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I went deeper on information glut, Hadoop uber-alles, experience optimization, sexy statistics, and complex event processing:
August 20: Information glut? You don't need lots of data to
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.