brenda m. michelson 's Library tagged realtime → View Popular, Search in Google

Feb

2012

It’s Time to Kill the Elephant | cloudeventprocessing.com

Colin on the need to break free of batch based MapReduce: "All of these recent shifts from companies like Google, Yahoo, and others no longer see a competitive advantage in batch based MapReduce. The future has arrived, let’s look at some evidence..."

blog.cloudeventprocessing.com/...its-time-to-kill-the-elephant

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continuousquery mapreduce hadoop realtime

Dec

2011

Five big data predictions for 2012 - O'Reilly Radar

FINALLY! --> Streaming data processing: "Over the next few years we'll see the adoption of scalable frameworks and platforms for handling streaming, or near real-time, analysis and processing. In the same way that Hadoop has been borne out of large-scale web applications, these platforms will be driven by the needs of large-scale location-aware mobile, social and sensor use.

For some applications, there just isn't enough storage in the world to store every piece of data your business might receive: at some point you need to make a decision to throw things away. Having streaming computation abilities enables you to analyze data or make decisions about discarding it without having to go through the store-compute loop of map/reduce.

Emerging contenders in the real-time framework category include Storm, from Twitter, and S4, from Yahoo."

radar.oreilly.com/...big-data-predictions-2012.html

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bigdata streaming realtime