Real Time Big Data Analytics
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Real Time Big Data Analytics
Use cases and architectures for real time processing
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IBM - KTH – Royal Institute of Technology (04/25/2011)

Analyzing large volumes of streaming data in real time is leading to smarter, more efficient and environmentally friendly traffic in urban areas...
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Scalable Analytics - Use Cases

Scalable Analytics - Use Cases | Real Time Big Data Analytics | Scoop.it
Scalable Analytics offers faster detail on extreme data.
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Twitter Storm: Open Source Real-time Hadoop

Twitter Storm: Open Source Real-time Hadoop | Real Time Big Data Analytics | Scoop.it
Twitter has open-sourced Storm, its distributed, fault-tolerant, real-time computation system, at GitHub under the Eclipse Public License 1.0. Storm is the real-time processing system developed by BackType, which is now under the Twitter umbrella.
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Big Data Caught in Storm

Big Data Caught in Storm | Real Time Big Data Analytics | Scoop.it
Hadoop is great for batch processing. However depending on the  incoming data throughput and the cluster characteristic, there is a minimum latency threshold for processing data. My blog post is ba...
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Real-time Analytics - Low Latency and High Velocity | The Big Data Hub

Real-time Analytics - Low Latency and High Velocity | The Big Data Hub | Real Time Big Data Analytics | Scoop.it
Real-time analytics in big data depend on your true needs for speed in access to the data.
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One does not simply scale into real-time

One does not simply scale into real-time | Real Time Big Data Analytics | Scoop.it
Real-time seems to be the next big thing in _big data_. Map-Reduced has shown how to perform big analyses on huge data sets in parallel, and the next challenge seems to be to find a similar kind of approach to real-time.
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