Data Privacy, Video Edition

[Jonathan99]

[center][img]https://i.postimg.cc/dVWd8NS4/data-privacy-9781617298998-hr.jpg[/img]
Released 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12h 20m | Size: 2 GB[/center]

[b]In Data Privacy you will learn how to[/b]

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. Youll 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 books constant awareness of business requirements will help you balance trade-offs, and ensure your users privacy can be improved without spiraling time and resource costs.

[b]About the Technology[/b]
Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a users 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.

[b]About the Book[/b]
Data Privacy: A runbook for engineers teaches you how to navigate the trade-off s between strict data security and real world business needs. In this practical book, youll learn how to design and implement privacy programs that are easy to scale and automate. Theres no bureaucratic processjust workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals.

[b]What's Inside[/b]
Classify data based on privacy risk
Set up capabilities for data export that meet legal requirements
Establish a review process to accelerate privacy impact assessment
Design a consent management platform to capture user consent

[b]About the Reader[/b]
For engineers and business leaders looking to deliver better privacy.

[b]About the Author[/b]
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 Google.






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