Skip to Main Content
Practical Data Privacy
book

Practical Data Privacy

by Katharine Jarmul
May 2023
Intermediate to advanced content levelIntermediate to advanced
346 pages
11h
English
O'Reilly Media, Inc.
Book available

Overview

Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems.

Practical Data Privacy answers important questions such as:

  • What do privacy regulations like GDPR and CCPA mean for my data workflows and data science use cases?
  • What does "anonymized data" really mean? How do I actually anonymize data?
  • How does federated learning and analysis work?
  • Homomorphic encryption sounds great, but is it ready for use?
  • How do I compare and choose the best privacy-preserving technologies and methods? Are there open-source libraries that can help?
  • How do I ensure that my data science projects are secure by default and private by design?
  • How do I work with governance and infosec teams to implement internal policies appropriately?
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Privacy

Data Privacy

Nishant Bhajaria
Data Governance: The Definitive Guide

Data Governance: The Definitive Guide

Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown

Publisher Resources

ISBN: 9781098129453Errata PageSupplemental Content