Book Image

Spark for Data Science

By : Srinivas Duvvuri, Bikramaditya Singhal
Book Image

Spark for Data Science

By: Srinivas Duvvuri, Bikramaditya Singhal

Overview of this book

This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages. Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R. With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.
Table of Contents (18 chapters)
Spark for Data Science
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface

References


  • The Spark Summit site has a wealth of information on Apache Spark and related projects from completed events

  • Interview with Matei Zaharia by KDnuggets

  • Why Spark Reached the Tipping Point in 2015 from KDnuggets by Matthew Mayo

  • Going Live: Preparing your first Spark production deployment is a very good starting point

  • What is Scala? from the Scala home page

  • Martin Odersky, creator of Scala, explains the reasons why Scala fuses together imperative and functional programming