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Hadoop Real-World Solutions Cookbook- Second Edition

You're reading from   Hadoop Real-World Solutions Cookbook- Second Edition Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781784395506
Length 290 pages
Edition 2nd Edition
Tools
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Author (1):
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Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Hadoop 2.X FREE CHAPTER 2. Exploring HDFS 3. Mastering Map Reduce Programs 4. Data Analysis Using Hive, Pig, and Hbase 5. Advanced Data Analysis Using Hive 6. Data Import/Export Using Sqoop and Flume 7. Automation of Hadoop Tasks Using Oozie 8. Machine Learning and Predictive Analytics Using Mahout and R 9. Integration with Apache Spark 10. Hadoop Use Cases Index

Web log analytics

Web logs is data generated by web servers running a website. This use case is applicable to domains where companies have their websites hosted and want to know more about their website performance and customer behavior on the website.

Getting ready

To perform this recipe, you should have an up and running Hadoop cluster. I have uploaded the data of some sample web logs from

https://github.com/deshpandetanmay/hadoop-real-world-cookbook/blob/master/data/mylog.txt.

How to do it...

Before jumping into the solution, let's first try to understand the problem statement:

Problem statement

Many companies run businesses on their websites. Their website performance decides the sales or profitability. Web servers generally log information about the user, browser, IP address, and so on. We can use this information in order to make the website browsing experience smoother for users, which would help increase profitability.

Solution

Here, we assume that a company hosting its website on...

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