Data Privacy: A runbook for engineers

Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits.
 
In Data Privacy you will learn how to:
• Classify data based on privacy risk
• Build technical tools to catalog and discover data in your systems
• Share data with technical privacy controls to measure reidentification risk
• Implement technical privacy architectures to delete data
• Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR)
• Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA)
• Design a Consent Management Platform (CMP) to capture user consent
• Implement security tooling to help optimize privacy
• Build a holistic program that will get support and funding from the C-Level and board
 
Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book’s constant awareness of business requirements will help you balance trade-offs, and ensure your user’s privacy can be improved without spiraling time and resource costs.
 
About the technology
Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user’s trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy.
 
About the reader
For engineers and business leaders looking to deliver better privacy.
 
About the author
Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Goog