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{ "item_title" : "Data Privacy", "item_author" : [" Nishant Bhajaria "], "item_description" : "Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits.I wish I had had this text in 2015 or 2016 at Netflix, and it would have been very helpful in 2008-2012 in a time of significant architectural evolution of our technology.Neil Hunt, Former CPO, Netflix In Data Privacy you will learn how to: Classify data based on privacy riskBuild technical tools to catalog and discover data in your systemsShare data with technical privacy controls to measure reidentification riskImplement technical privacy architectures to delete dataSet 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 consentImplement security tooling to help optimize privacyBuild 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technologyData 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 bookData 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. What's inside Classify data based on privacy riskSet up capabilities for data export that meet legal requirementsEstablish a review process to accelerate privacy impact assessmentDesign a consent management platform to capture user consent About the readerFor engineers and business leaders looking to deliver better privacy. About the authorNishant 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. Table of ContentsPART 1 PRIVACY, DATA, AND YOUR BUSINESS1 Privacy engineering: Why it's needed, how to scale it2 Understanding data and privacyPART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE3 Data classification4 Data inventory5 Data sharingPART 3 BUILDING TOOLS AND PROCESSES6 The technical privacy review7 Data deletion8 Exporting user data: Data Subject Access RequestsPART 4 SECURITY, SCALING, AND STAFFING9 Building a consent management platform10 Closing security vulnerabilities11 Scaling, hiring, and considering regulations", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/61/729/899/1617298999_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Privacy|Nishant Bhajaria
Data Privacy : A Runbook for Engineers
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Overview

Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits."I wish I had had this text in 2015 or 2016 at Netflix, and it would have been very helpful in 2008-2012 in a time of significant architectural evolution of our technology."
Neil Hunt, Former CPO, Netflix 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. 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 book
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. What's inside 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 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 Google. Table of Contents
PART 1 PRIVACY, DATA, AND YOUR BUSINESS
1 Privacy engineering: Why it's needed, how to scale it
2 Understanding data and privacy
PART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE
3 Data classification
4 Data inventory
5 Data sharing
PART 3 BUILDING TOOLS AND PROCESSES
6 The technical privacy review
7 Data deletion
8 Exporting user data: Data Subject Access Requests
PART 4 SECURITY, SCALING, AND STAFFING
9 Building a consent management platform
10 Closing security vulnerabilities
11 Scaling, hiring, and considering regulations

This item is Non-Returnable

Details

  • ISBN-13: 9781617298998
  • ISBN-10: 1617298999
  • Publisher: Manning Publications
  • Publish Date: February 2022
  • Dimensions: 9.2 x 7.3 x 0.9 inches
  • Shipping Weight: 1.4 pounds
  • Page Count: 384

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