Spark GraphX in Action, Michael Malak, Robin East
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Характеристики и описание
Основные
| Производитель | Scala |
|---|
Пользовательские характеристики
| Друк | чорно-білий |
|---|---|
| Язык | English |
| Обложка | Мягкая |
| Папір | білий, офсет |
| Рік | 2016 |
| Состояние | нова книга |
| Сторінок | 280 |
Summary
Spark GraphX in Action
starts out with an overview of Apache Spark and the GraphX graph processing API. This example-based tutorial then teaches you how to configure GraphX and how to use it interactively. Along the way, you'll collect practical techniques for enhancing applications and applying machine learning algorithms to graph data.
About the Technology
GraphX is a powerful graph processing API for the Apache Spark analytics engine that lets you draw insights from large datasets. GraphX gives you unprecedented speed and capacity for running massively parallel and machine learning algorithms.
About the Book
Spark GraphX in Action
begins with the big picture of what graphs can be used for. This example-based tutorial teaches you how to use GraphX interactively. You'll start with a crystal-clear introduction to building big data graphs from regular data, and then explore the problems and possibilities of implementing graph algorithms and architecting graph processing pipelines. Along the way, you'll collect practical techniques for enhancing applications and applying machine learning algorithms to graph data.
What's Inside
Understanding graph technology
Using the GraphX API
Developing algorithms for big graphs
Machine learning with graphs
Graph visualization
About the Reader
Readers should be comfortable writing code. Experience with Apache Spark and Scala is not required.
About the Authors
Michael Malak
has worked on Spark applications for Fortune 500 companies since early 2013.
Robin East
has worked as a consultant to large organizations for over 15 years and is a data scientist at Worldpay.
Table of Contents
PART 1 SPARK AND GRAPHS
Two important technologies: Spark and graphs
GraphX quick start
Some fundamentals
PART 2 CONNECTING VERTICES
GraphX Basics
Built-in algorithms
Other useful graph algorithms
Machine learning
PART 3 OVER THE ARC
The missing algorithms
Performance and monitoring
Other languages and tools
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