With Data Privacy learn to implement technical privacy solutions and tools at scale
Data Privacy: A runbook for engineers, teaches you to implement technical privacy solutions and tools at scale. Master methods that can be instantly applied to almost any system, and rapidly improve your user privacy saving time and resource costs!
Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. Data Privacy: A runbook for engineers, teaches you to implement technical privacy solutions and tools at scale. Master methods that can be instantly applied to almost any system, and rapidly improve your user privacy saving time and resource costs!
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.
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.
"Your guide to building privacy into the fabric of your organization."
— John Tyler, JPMorgan Chase
Data Privacy: A runbook for engineers teaches you how to navigate the trade-offs between strict data security and real world business needs. In this practical book, you’ll learn how to design and implement privacy programs that are easy to scale and automate. There’s no bureaucratic process—just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals.
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