Chapter 7. Gathering Results

With so much data being held, generated, and made available in the systems around the world today, new and clever techniques to extract value and hidden information buried deep within our raw data are appearing. In this chapter, we shall look at the following topics:

  • An introduction to big data and the MapReduce framework
  • How MapReduce enables the processing of large datasets
  • Using Hazelcast's implementation of MapReduce
  • Using aggregation interface to perform simplified reductions

What is this big data hype all about?

Big data has proven to be a bit of a trendy buzzword of late, with lots of use cases, jobs, and technologies focusing in this area. However, what is it all about? With the rise of bigger and greater data storage ...

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