Data Security and Privacy in Data Lakes
( 25 Modules )

Module #1
Introduction to Data Lakes
Overview of data lakes, their benefits, and importance of security and privacy

Module #2
Data Security Fundamentals
Basic security concepts, threat models, and security principles

Module #3
Data Privacy Fundamentals
Introduction to data privacy, regulations, and compliance

Module #4
Data Lake Architecture
Overview of data lake architecture, components, and security challenges

Module #5
Data Ingestion and Security
Security considerations for data ingestion, including data validation and encryption

Module #6
Storage Security
Security measures for data storage, including access controls and encryption

Module #7
Data Catalog and Metadata Security
Securing data catalogs and metadata, including access controls and encryption

Module #8
Data Processing and Security
Security considerations for data processing, including data transformation and analytics

Module #9
Data Access Control
Implementing access controls for data lakes, including role-based access control and attribute-based access control

Module #10
Data Encryption and Masking
Techniques for encrypting and masking sensitive data in data lakes

Module #11
Identity and Access Management
IAM concepts and implementations for data lakes, including authentication and authorization

Module #12
Network Security for Data Lakes
Securing data lakes from network-based threats, including firewalls and VPNs

Module #13
Compliance and Regulatory Requirements
Overview of regulatory requirements for data lakes, including GDPR, HIPAA, and CCPA

Module #14
Data Loss Prevention (DLP)
Implementing DLP strategies for data lakes, including anomaly detection and incident response

Module #15
Incident Response and Disaster Recovery
Responding to security incidents and developing disaster recovery plans for data lakes

Module #16
Monitoring and Auditing
Implementing monitoring and auditing for data lakes, including log analysis and security information event management (SIEM)

Module #17
Case Studies in Data Lake Security
Real-world examples of data lake security implementations and breaches

Module #18
Security Best Practices for Data Lakes
Industry-recognized security best practices for data lakes

Module #19
Privacy by Design
Implementing privacy by design principles for data lakes

Module #20
Anonymous Data and K-Anonymity
Techniques for anonymizing data in data lakes, including k-anonymity

Module #21
Differential Privacy
Implementing differential privacy for data lakes, including noise addition and aggregation

Module #22
Privacy-Preserving Data Analysis
Techniques for analyzing sensitive data in data lakes while preserving privacy

Module #23
Data Lake Security Governance
Developing governance models for data lake security, including policies and procedures

Module #24
Security Assessment and Testing
Assessing and testing data lake security, including vulnerability scanning and penetration testing

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Data Security and Privacy in Data Lakes career

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Data Security and Privacy in Data Lakes ( 25 Modules )

Data Security and Privacy in Data Lakes
( 25 Modules )