We know that a computer application/product is scalable if it works as expected, even when its size or volume (or the size or volume of its environment) regarding data and computations has changed to improve the user’s computation necessities. In most situations, rescaling means increasing the volume or size of the computation capabilities. This is an important characteristic of cloud computing, which for big data in particular, helps because large amounts of data need ...
© 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_15
15. Iterative Data Processing on Big Data
Stefania Loredana Nita1 and Marius Mihailescu1
(1)Bucharest, Romania
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