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

Why visualize data?


Data visualization deals with representing data in a visual form so as to enable people to understand the underlying patterns and trends. Geographical maps, the bar and line charts of the seventeenth century, are some examples of early data visualizations. Excel is perhaps a familiar data visualization tool that most of us have already used. All data analytics tools have been equipped with sophisticated, interactive data visualization dashboards. However, the recent surge in big data, streaming, and real-time analytics has been pushing the boundaries of these tools and they seem to be bursting at the seams. The idea is to make the visualizations look simple, accurate, and relevant while hiding away all the complexity. As per the business needs, any visualization solution should ideally have the following characteristics:

  • Interactivity

  • Reproducibility

  • Control over the details

Apart from these, if the solution allows users to collaborate over the visuals or reports and share...