Each insight is useful for only a limited amount of time, so organizations that don’t closely track their insights’ shelf lives may be making poor decisions because of outdated information. Learn how to fix this.
Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.
In this week's episode of Making Data Simple, Al Martin and Adam Storm, IBM senior technical staff member and master inventor, next-generation HTAP architect, sit down to talk about fast data. Adam also covers the pros and cons of different information architectures and the software you can use to
Developer resources for InfoSphere Streams are abundant. Review the top five resources to get started and join a thriving and growing community of InfoSphere Streams users across healthcare, energy and utilities, telecommunications and more.
The organization that can quickly extract insight from their data AND leverage the data achieves an advantage. Rick Clements, IBM's director of marketing for Big Data says, "we are moving from the notion of big data to fast data, where what really matters is speed...and real-time actionable insight