Streaming analytics is giving developers the ability to accelerate the time to value provided by applications designed for the Internet of Things. Discover how IBM Streams 4.2 is connecting developers with the capabilities of advanced data analytics solutions, helping them keep pace with the ever-
IBM Insight at World of Watson 2016 offers you opportunities to explore solutions to your most challenging problems, connect with data engineers and data scientists from other organizations and find out what’s new in streaming analytics. And in anticipation of the event, check out this overview to
Researchers at the University of Montana were interested in preventing epilepsy in patients suffering from traumatic brain injuries. As they began to gather data, they realized how crucial it was to be able to analyze this massive amount of data in a short period of time.
Stream computing makes dependably analyzing continuous data streams from sensors, social media or mobile device data efficient and effective. Even with multiple uses for big data in every industry, the end goal for organizations is to take advantage of stream computing to capture previously
Businesses today are awash in data about their customers, assets, employees and more, but data is not just data. Some data is at rest; other data is in motion, or streaming. Today's organizations need a powerful combination of analytics capabilities to mine insights from both types of data,
Even when learning a new language, becoming fluent within certain contexts can be easier than other contexts. When analyzing textual data, context is imperative to understand that data. And like corpora developed for linguistics research, a simple and straightforward conversion of textual data
Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
Telecommunications service providers are facing new and difficult challenges. They need to serve increasingly demanding customers, support advanced mobile technology and handle unprecedented spikes in network traffic. Analytics of big data in motion delivers tangible business value including