Graduate Certificate in Segregating Data in Cloud Computing
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⢠Cloud Computing Fundamentals: Understanding the basics of cloud computing, including service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid), and cloud architecture.
⢠Data Security in Cloud Computing: Overview of data security concepts, encryption techniques, access control, and identity management in cloud environments.
⢠Data Segregation Techniques: Deep dive into data segregation methods, including multi-tenancy, logical partitioning, and data isolation for ensuring data privacy and security.
⢠Cloud Compliance and Regulations: Study of various compliance requirements and regulations related to data protection, privacy, and security in cloud computing.
⢠Designing Secure Cloud Architectures: Hands-on experience in designing and implementing secure cloud architectures using industry-leading tools and platforms.
⢠Cloud Data Analysis and Visualization: Techniques for analyzing and visualizing cloud data, including data mining, machine learning, and big data analytics.
⢠Cloud Data Management Best Practices: Best practices for managing data in cloud environments, including data backup, disaster recovery, and data archiving.
⢠Cloud Security Monitoring and Incident Response: Strategies for monitoring cloud environments for security threats, detecting intrusions, and responding to security incidents.
⢠Ethical Considerations in Cloud Computing: Discussion of ethical considerations related to data privacy, security, and access in cloud computing.
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