stream computing

How do real-time analytics power your day?

August 15, 2014
You have a lot happening in your day: a morning doctor’s appointment, a quick call into the help desk to resolve your laptop issue, an important strategy planning meeting at work, a trip to the grocery store to pick up some dinner and homework time with the kids. Ever stop and think “how do real-time analytics power my day?” Read More

Using real-time analytics to identify who's scooping whom in online journalism

August 14, 2014
Working journalists are locked into a never-ending race against time. Not only are reporters always up against deadlines, but they are constantly scrambling to make sure they break the news before the competition. As more people turn to online news sources (including, but not limited to traditional news websites, streaming broadcasts and mobile apps) it's a bit bewildering to figure out who is scooping whom when on which breaking topics. Before long, we can expect to see the news services' data scientists build streaming tools that analyze how fast they and the competition are breaking news online, and bragging with data when they find themselves doing the scooping. Read More

Github, StreamsDev and Quick Start–Oh my!

July 9, 2014
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.  Read More

Streaming media and narrative power of video content analytics

July 3, 2014
Video content analytics tools are humanity's unblinking eyes, capable of continuously filtering the world's media streams at scale. Video content analytics algorithms can parse the fine details within and between successive frames of specific streams, supporting pattern recognition, gesture recognition, location detection, motion detection, event detection, production-style detection, dynamic video masking and camera tamper detection. Read More

A big data architect's guide to building real-time contextual marketing systems

May 7, 2014
Building a tool is as much an art as it is science. Even if you are building a toothbrush, you would painstakingly arbitrate the symbiosis between the length, width, angles and elasticity of the brush to the age, gender, habits and moods of the intended users. How about building a real-time big data tool? It certainly is not any less sophisticated than that of the toothbrush. Read More

10 can’t miss posts for big data and analytics developers: May 2014

May 5, 2014
DeveloperWorks big data and analytics editor, Barb Wetmore, brings you a summary of the latest how-to technical content for developers. This month includes enabling Watson to use sensor data, using the BLU Acceleration service in the Codename: BlueMix cloud platform, detecting and tracking the physical activity of mobile phone users and more. Read More

Streams versus Storm: What’s in a name?

May 1, 2014
Across cultures, since the beginning of time, humans have given great importance to naming of offspring. Children are named for ancestors, significant events or natural wonders. Names give meaning to people, places and objects. Read More

Understanding the value of complex event processing

April 4, 2014
Until recently, the growth of complex event processing (CEP) outside of the financial industry was relatively moderate, with strong activity coming from the airlines for applications such as baggage handling. However, times are changing; business models are radically shifting and the volume, variety and velocity of data to be mined for business insight is growing exponentially across a broad spectrum of industries. How then can CEP help organizations with their business process management initiatives? And how does CEP fit into bigger trends in play? Read More

Approaching the big data starting line with the Quick Start Program

January 10, 2014
It’s a new year, and you know what that means. Read More

Learn about real-time analytics through real-world examples

December 16, 2013
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. Read More

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