Russell Jurney - Agile data science: building data analytics applications with Hadoop

This book is organized into two sections. Part I introduces the data- and toolset we will use in the tutorials in Part II. Part I is intentionally brief, taking only enough time to introduce the tools. We go more in-depth into their use in Part II, so dont worry if youre a little overwhelmed in Part I. The chapters that compose Part I are as follows:

Introduces the Agile Big Data methodology.

Describes the dataset used in this book, and the mechanics of a simple prediction.

Introduces our toolset, and helps you get it up and running on your own machine.

Walks you through scaling the tools in to petabyte scale using the cloud.

Part II is a tutorial in which we build an analytics application using Agile Big Data. It is a notebook-style guide to building an analytics application. We climb the data-value pyramid one level at a time, applying agile principles as we go. Ill demonstrate a way of building value step by step in small, agile iterations. Part II comprises the following chapters:

Helps you download your inbox and then connect or plumb emails through to a web application.

Steps you through how to navigate your data by preparing simple charts in a web application.

Teaches you how to extract entities from your data and link between them to create interactive reports.

Helps you use what youve done so far to infer the response rate to emails.

Explains how to extend your predictions into a real-time ensemble classifier to help make emails that will be replied to.

The following typographical conventions are used in this book: