This book helps software engineers and architects understand the pros and cons of various technologies for storing and processing data. It covers fundamental principles, trade-offs, and design decisions in data systems, including scalability, consistency, reliability, efficiency, and maintainability. The book delves into distributed systems research, the architecture of data systems, and how to make informed decisions about different tools and technologies. It does not provide detailed instructions on specific software packages but focuses on the underlying principles and trade-offs essential for designing data-intensive applications[2][4][5].
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Feeling uneasy about how your personal data is used, and wondering if companies are doing enough to protect it?
In this episode, Katharine Jarmul, author of “Practical Data Privacy,” dives deep into one of the most critical and rapidly evolving topics today. Discover how data privacy impacts you as a user and what organizations should be doing to protect your information responsibly. Learn why simply blaming users isn’t the answer and how we can build a more trustworthy technological future.
Key topics discussed:
- Understanding Data Privacy: The meaning of data privacy and how it links to autonomy, trust, and choice
- More Than Just PII: The full scope of sensitive data needing protection
- The “Spying” Phone Feeling: How too much data collection can be used to infer sensitive details
- Organizational Responsibility: Shifting data protection burden from users to companies building and deploying technology
- Privacy by Design: Embedding privacy into tech right from the start
- Essential Data Governance: Why knowing your data is key to privacy
- Practical Privacy Techniques: Pseudonymization, anonymization, data masking, and more
- Privacy Enhancing Technologies: Exploring tools like differential privacy, federated learning, and encrypted computation
- AI & Privacy Challenges: Using AI responsibly with sensitive information
- Navigating Privacy Laws: Understanding GDPR, data sovereignty, and global regulations
- Building a Privacy Culture: Fostering a culture of learning, psychological safety, and risk awareness around privacy
Tune in to learn how we can build a safer, more responsible, and trustworthy digital future for everyone.
Timestamps:
- (00:00) Trailer & Intro
- (01:20) Career Turning Points
- (02:14) Data Privacy Landscape
- (07:45) PII (Personally Identifiable Information)
- (11:33) Data Privacy Risk in Current Technologies
- (14:13) Data Utility vs Privacy
- (19:01) Privacy by Design
- (24:19) Data Governance
- (29:06) Retention Schedule
- (31:10) Data Privacy Practices & Techniques
- (34:09) Privacy Enhancing Technologies
- (38:52) Fostering Data Privacy Practice & Culture
- (47:05) The Legal Aspects of Data Privacy
- (51:10) AI and Data Privacy
- (56:08) 3 Tech Lead Wisdom
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Katharine Jarmul’s Bio
Katharine Jarmul is a Principal Data Scientist at Thoughtworks Germany and author of the recent O’Reilly book Practical Data Privacy . Previously, she has held numerous roles at large companies and startups in the US and Germany, implementing data processing and machine learning systems with a focus on reliability, testability, privacy and security.
She is a passionate and internationally recognized data scientist, programmer, and lecturer. Katharine is also a frequent keynote speaker at international software and AI conferences.
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