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Tag Archives: BigData

How to start a big data analytics project

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When starting a Big Data analytics project, time is a very important issue. It may take from a few weeks to many years, and it depends on many factors, such as understanding the requirements, choosing the right technology, the complexity of the analytics and many more. An important thing to understand is that a big data analytics solution should be ...

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Big Data and R

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This blog post is a presentation of tips on computing with Big Data in R, using Revolution R Enterprise 7.0 and RevoScaleR, Revolution’s R package for HPA computing, as introduced by Revolution Analytics blog. For more detailed information you can take a look at Tips on Computing with Big Data in R. 1 Upgrade your hardware Since bigger is better, ...

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ArrayList Using Memory Mapped File

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Introduction In-Memory computing is picking up due to affordable hardware, most of the data is kept in RAM to meet latency and throughput goal, but keeping data in RAM create Garbage Collector overhead especially if you don’t pre allocate. So effectively we need garbage less/free approach to avoid GC hiccups Garbage free/less data structure There are couple of option to achieve ...

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