Mastering Large Datasets with Python

Table of Contents

Copyright

Brief Table of Contents

Table of Contents

Preface

Acknowledgments

About this book

About the author

About the cover illustration

1.

Chapter 1. Introduction

1.1. What you’ll learn in this book

1.2. Why large datasets?

1.3. What is parallel computing?

1.3.1. Understanding parallel computing

1.3.2. Scalable computing with the map and reduce style

1.3.3. When to program in a map and reduce style

1.4. The map and reduce style

1.4.1. The map function for transforming data

1.4.2. The reduce function for advanced transformations

1.4.3. Map and reduce for data transformation pipelines

1.5. Distributed computing for speed and scale

1.6. Hadoop: A distributed framework for map and reduce

1.7. Spark for high-powered map, ...