MapReduce Algorithms – Understanding Data Joins Part 1

In this post we continue with our series of implementing the algorithms found in the Data-Intensive Text Processing with MapReduce…

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What is Big Data – Theory to Implementation

What is Big Data? You may ask; and more importantly why it is the latest trend in nearly every business…

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MapReduce Algorithms – Secondary Sorting

We continue with our series on implementing MapReduce algorithms found in Data-Intensive Text Processing with MapReduce book. Other posts in…

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Couchbase 101: Create views (MapReduce) from your Java application

When you are developing a new applications with Couchbase 2.0, you sometimes need to create view dynamically from your code.…

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MapReduce Algorithms – Order Inversion

This post is another segment in the series presenting MapReduce algorithms as found in the Data-Intensive Text Processing with MapReduce…

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Calculating A Co-Occurrence Matrix with Hadoop

This post continues with our series of implementing the MapReduce algorithms found in the Data-Intensive Text Processing with MapReduce book.…

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MapReduce: Working Through Data-Intensive Text Processing – Local Aggregation Part II

This post continues with the series on implementing algorithms found in the Data Intensive Processing with MapReduce book. Part one…

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MapReduce: Working Through Data-Intensive Text Processing

It has been a while since I last posted, as I’ve been busy with some of the classes offered by…

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Processing 10 million messages with Akka

Akka Actors promise concurrency. What better way to simulate that and see if how much time it takes to process…

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