Course Summary
This course teaches students how to secure and protect big data in the era of increasing cyber threats. It covers various topics such as privacy-preserving data mining, cryptography, and secure multi-party computation.Key Learning Points
- Learn about the latest techniques in big data security and privacy
- Understand how to apply cryptography and secure computation to protect sensitive data
- Explore real-world case studies and applications
Related Topics for further study
Learning Outcomes
- Develop a thorough understanding of the latest techniques in big data security and privacy
- Learn how to apply cryptography and secure computation to protect sensitive data
- Gain practical experience through real-world case studies and applications
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of big data concepts
- Familiarity with programming languages such as Python and Java
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Introduction to Cybersecurity Tools & Cyber Attacks
- Cryptography I
- Applied Cryptography
Related Education Paths
Related Books
Description
This course sensitizes regarding security in Big Data environments. You will discover cryptographic principles, mechanisms to manage access controls 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 security related issues are under control. You will look at decent-sized big data projects with security-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level.
Knowledge
- Recognize all security related issues in big data systems and projects.
- Define cryptographic principles and mechanisms to manage access controls in your Big Data system.
- Explain security risks and challenges for Big Data system.
Outline
- SECURITY AND PRIVACY FOR BIG DATA - PART 1
- Case: Stolen data
- Types of threats
- Security goals
- Implementing security for Big Data
- Administrative measures for Big Data
- Preventive measures: Encryption
- Preventive measures: Access control
- Detective measures: Audits
- Detective measures: Monitoring
- Best practices for securing Big Data
Summary of User Reviews
This course on security, privacy, and big data has received positive reviews from many users. Students appreciate the comprehensive coverage of topics related to big data security and privacy. They find the course informative, engaging, and well-structured.Key Aspect Users Liked About This Course
The course covers a wide range of topics related to big data security and privacy.Pros from User Reviews
- The course is informative and engaging.
- The instructors are knowledgeable and provide clear explanations.
- The course materials are well-organized and easy to follow.
- The assignments and quizzes help reinforce key concepts.
- The course provides practical examples and real-world applications.
Cons from User Reviews
- Some users have found the course content to be too technical or advanced.
- Some users have experienced technical difficulties with the online platform.
- Some users have found the course pace to be too fast or too slow.
- Some users have found the course assignments to be too challenging or time-consuming.
- Some users have expressed disappointment with the lack of interaction with other students or the instructors.
Enrique Barra
4.6 Raiting
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