Course Summary
This course focuses on the protection of big data in terms of security and privacy. Students will learn about the latest developments in data protection and privacy policies.Key Learning Points
- Understand the importance of big data security and privacy
- Learn about the latest developments in data protection
- Design and implement secure big data systems
Related Topics for further study
Learning Outcomes
- Design and implement secure big data systems
- Develop effective data protection and privacy policies
- Understand the latest developments in big data security
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of data systems
- Understanding of cybersecurity
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Introduction to Cybersecurity
- Cybersecurity and Its Ten Domains
Related Education Paths
Notable People in This Field
- Security Technologist
- Cybersecurity Expert
Related Books
Description
This course sensitizes regarding privacy and data protection in Big Data environments. You will discover privacy preserving methodologies, as well as data protection regulations and concepts in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all privacy and data protection related issues are under control. You will look at decent-sized big data projects with privacy-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level.
Knowledge
- Understand what data protection is and why this is important.
- Explain what personal data is, and know the essential facts about the GDPR, what the GDPR has changed compared to previous data protection law.
- Know privacy risks arising from Big Data applications and methods which reduce or prevent privacy risks of data processing activities.
- Know concepts like anonymization and pseudonymization, k-anonymity, differential privacy, secure multiparty computation, and homomorphic encryption.
Outline
- SECURITY AND PRIVACY FOR BIG DATA - PART 2
- Social costs of Big Data
- Anonymizing and pseudonymizing data
- Differential Privacy
- Differential Privacy methods
- Homomorphic encryption
- Secure Multiparty Computation
- Data Protection Law for Big Data
- General Data Protection Regulation (GDPR)
- Important changes resulting from the GDPR
- Personal Data
- Personal data and Big Data applications
Summary of User Reviews
This course on security, privacy, and big data protection has received positive reviews from students. The course covers a range of topics related to security and privacy in the world of big data, and many students found it to be informative and engaging.Key Aspect Users Liked About This Course
The key aspect that many users thought was good about this course is the thoroughness of the material. Students appreciated the level of detail and the clear explanations provided in each lesson.Pros from User Reviews
- Thorough coverage of key topics related to security and privacy in big data
- Clear explanations that make the material easy to understand
- Engaging lessons that keep students interested in the material
- Interactive elements that help students apply what they've learned in real-world scenarios
Cons from User Reviews
- Some students found the pace of the course to be too slow
- A few students felt that the course was too basic and didn't cover enough advanced topics
- A handful of students had technical issues with the platform or the course materials
- The assignments and quizzes could be more challenging for some students
Enrique Barra
4.7 Raiting
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