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You're reading from  Hands-On Data Analysis with Scala

Product typeBook
Published inMay 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789346114
Edition1st Edition
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Author (1)
Rajesh Gupta
Rajesh Gupta
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Rajesh Gupta

Rajesh is a Hands-on Big Data Tech Lead and Enterprise Architect with extensive experience in the full life cycle of software development. He has successfully architected, developed and deployed highly scalable data solutions using Spark, Scala and Hadoop technology stack for several enterprises. A passionate, hands-on technologist, Rajesh has masters degrees in Mathematics and Computer Science from BITS, Pilani (India).
Read more about Rajesh Gupta

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Random data generation

Random data generation is useful for several purposes and plays a significant role in performance testing. This technique is also useful for generating synthetic data that can be used for various simulation experiment purposes. In fact, it is randomness that facilitates an unbiased sample selection from a large dataset.

We will look at random data generation with some specific properties:

  • Pseudorandom with no specific distribution
  • Normal distribution
  • Poisson distribution

Pseudorandom numbers

Scala provides built-in support to generate pseudorandom numbers using the scala.util.Random class. Let's explore some features of this class using Scala REPL:

  1. Import the Random class from the scala.util...
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Hands-On Data Analysis with Scala
Published in: May 2019Publisher: PacktISBN-13: 9781789346114

Author (1)

author image
Rajesh Gupta

Rajesh is a Hands-on Big Data Tech Lead and Enterprise Architect with extensive experience in the full life cycle of software development. He has successfully architected, developed and deployed highly scalable data solutions using Spark, Scala and Hadoop technology stack for several enterprises. A passionate, hands-on technologist, Rajesh has masters degrees in Mathematics and Computer Science from BITS, Pilani (India).
Read more about Rajesh Gupta