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Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions

Authors

Isaac Triguero, University of Nottingham, Mikel Galar, Public University of Navarre
Published 2023

Description

Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know,…

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Key features

  • Engages students and supports instructors in teaching large-scale data analytics and ML
  • Encourages hands-on learning and fosters reflective thinking with explanations, code, real examples, and exam-style exercises
  • Introduces the key principles of big data platforms rather than attempting to cover all technical aspects, to avoid overwhelming students
  • Provides lab assignments to assess student progress, designed to run on standard computers without expensive big data infrastructures

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