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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

Sensitive data masking and encryption using Hadoop

A lot of companies handle sensitive information such as SSN numbers, names, credit card numbers, and so on. In this recipe, we are going to take a look at how to use Hadoop to mask or encrypt this data in order to secure it. This recipe can be referred to by various domains, such as finance, retail, telecom, and those people who handle critical information.

Getting ready

To perform this recipe, you should have an up and running Hadoop cluster.

How to do it...

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

Problem statement

Handling sensitive information is a critical part of today's data operations. Here, the problem statement is to transform critical information into masked data or completely encrypted data.

Solution

Here, we assume that we already have data with us in flat files and it has been loaded into HDFS.

Let's say we have some sample data, as shown here, which has the name and credit...

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