© Stefania Loredana Nita and Marius Mihailescu 2017
Stefania Loredana Nita and Marius Mihailescu, Practical Concurrent Haskell, https://doi.org/10.1007/978-1-4842-2781-7_10
Stefania Loredana Nita1 and Marius Mihailescu1
(1)Bucharest, Romania
We have already discussed big data in Chapter 8. In this chapter, we provide a deeper overview of big data and its challenges. This chapter covers how data is generated, and presents some of the tools and methods used in big data. It also presents an example of MapReduce in Haskell.
Usually, when we work with data, we need to accomplish mainly four steps: generation, collection, storage, and analysis of data (the latter is covered in the “MapReduce in Haskell ” section). ...
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