​​📚Big Data Analytics: A Hands-On Approach

✍🏻Arshdeep Bahga, Vijay Madisetti (2019)

▪️The book is organized into three main parts, comprising a total of twelve chapters.
Part I provides an introduction to big data, applications of big data, and big data science and analytics patterns and architectures. Part II introduces the reader to various tools and frameworks for big data analytics, and the architectural and programming aspects of these frameworks as used in the proposed design methodology. Part III focuses advanced topics on big data including analytics algorithms and data visualization tools. The chapter on analytics algorithms introduces the reader to machine learning algorithms for clustering, classification, regression and recommendation systems, with examples using the Spark MLlib and H2O frameworks. The chapter on data visualization describes examples of creating various types of visualizations using frameworks such as Lightning, pygal and Seaborn.

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