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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

Call Data Record analytics

Call data records is data that is gathered by telecom operators that are specific to individual customers. We are going to take a look at telecom domain-specific use cases in this recipe.

Getting ready

To perform this recipe, you should have an up and running Hadoop cluster. We need some sample data for these use cases; I have written a data generator, which can used for your reference. You can find it at https://github.com/deshpandetanmay/cdr-data-generator.

How to do it...

Before jumping into the solution let's first try to understand a problem statement.

Problem Statement

Telecom companies keep records of each and every call made by their subscribers. They also keep information such as when a call was made, who it was made to, the start time, end time, and so on. Detailed information, such as SMSes, data sessions, and so on, is also stored by these companies. Here, the problem statement is how we can use this data to make company operations run smoother and...

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