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

Chapter 9. Visualizing Big Data

Proper data visualization has solved many business problems in the past without much statistics or machine learning being involved. Even today, with so many technological advancements, applied statistics, and machine learning, proper visuals are the end deliverables for business users to consume information or the output of some analyses. Conveying the right information in the right format is something that data scientists yearn for, and an effective visual is worth a million words. Also, representing the models and the insights generated in a way that is easily consumable by the business is extremely important. Nonetheless, exploring big data visually is very cumbersome and challenging. Since Spark is designed for big data processing, it also supports big data visualization along with it. There are many tools and techniques that have been built on Spark for this purpose.

The previous chapters outlined how to model structured and unstructured data and generate...