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Anonymization

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May 1, 2024 4 minute read

Anonymization is the process of modifying data in such a way that it is no longer possible to identify the individuals to whom it relates. This can be done for a variety of reasons, such as protecting the privacy of individuals, complying with data protection regulations, or preventing the identification of individuals from sensitive data. Anonymization can be achieved through a variety of techniques, such as encryption, hashing, or pseudonymization.

Why Learn Anonymization?

There are a number of reasons why you might want to learn about anonymization. These include:

Path to Anonymization

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We've curated two courses to help you on your path to Anonymization. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Data Security Champion: Secure Data Storage

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Creating a De-identified Copy of Data in Cloud Storage

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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Anonymization.

Data Mining

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Explores the principles and techniques of privacy-preserving data anonymization. It covers a wide range of topics, including data perturbation, data suppression, and synthetic data generation.

The Algorithmic Foundations of Differential Privacy

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Provides a comprehensive treatment of data privacy, including a discussion of anonymization techniques. It is written by two of the leading researchers in the field of data privacy.

The Algorithmic Foundations of Differential Privacy...

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The Emerging Technology of Big Data

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Provides an overview of anonymization techniques for big data. It covers a wide range of topics, including data scrubbing, generalization, and encryption.

The Emerging Technology of Big Data: Its Impact as...

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The Emerging Technology of Big Data: Its Impact as...

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Consumer Privacy and Data Protection

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Provides a comprehensive overview of anonymization methods for sensitive data. It covers a wide range of topics, including data scrubbing, generalization, and encryption.

Consumer Privacy and Data Protection

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Consumer Privacy and Data Protection

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