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You're reading from  Hadoop Real-World Solutions Cookbook - Second Edition

Product typeBook
Published inMar 2016
Publisher
ISBN-139781784395506
Edition2nd Edition
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Tanmay Deshpande
Tanmay Deshpande
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Tanmay Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.
Read more about Tanmay Deshpande

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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 card number of...

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Hadoop Real-World Solutions Cookbook - Second Edition
Published in: Mar 2016Publisher: ISBN-13: 9781784395506

Author (1)

author image
Tanmay Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.
Read more about Tanmay Deshpande