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Programming MapReduce with Scalding

You're reading from Programming MapReduce with Scalding A practical guide to designing, testing, and implementing complex MapReduce applications in Scala

Product type Paperback

Published in Jun 2014

Publisher

ISBN-13 9781783287017

Length 148 pages

Edition 1st Edition

Languages

Scala

Tools

Hadoop

Concepts

Front End Web Development

Author (1):

Antonios Chalkiopoulos

View More author details

Table of Contents (11) Chapters

Preface

1. Introduction to MapReduce

2. Get Ready for Scalding FREE CHAPTER

3. Scalding by Example

4. Intermediate Examples

5. Scalding Design Patterns

6. Testing and TDD

7. Running Scalding in Production

8. Using External Data Stores

9. Matrix Calculations and Machine Learning

Index

Exploring ad targeting

As part of our second example, we will explore the same logfiles with another job for the purpose of generating personalized ads. Let's assume that the company we are working for provides news articles with associated videos to users. For the purpose of the example, we will assume that four categories of news are presented: sports, technology, culture, and travel.

Category	Subcategories
Sports	Football	Rugby	Tennis	F1	Cycling
Tech	Games	Mobile	Gadget	Apps	Internet
Culture	Books	Film	Music	Art	Theatre
Travel	Hotels	Skiing	Family	Budget	Breaks

Analyzing and understanding the data deeply, requires lots of exploration. Fortunately, a Data Scientist validates and calculates some assumptions that result in the following conclusions:

Our users spend time reading articles and spend more than 20 seconds if they are slightly interested and more than 60 seconds if they are really interested.
Users who also view the video accompanying each article...

The rest of the chapter is locked

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Authors (1)

Antonios Chalkiopoulos

Antonios Chalkiopoulos

Antonios Chalkiopoulos is a developer living in London and a professional working with Hadoop and Big Data technologies. He completed a number of complex MapReduce applications in Scalding into 40-plus production nodes HDFS Cluster. He is a contributor to Scalding and other open source projects, and he is interested in cloud technologies, NoSQL databases, distributed real-time computation systems, and machine learning. He was involved in a number of Big Data projects before discovering Scala and Scalding. Most of the content of this book comes from his experience and knowledge accumulated while working with a great team of engineers.

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