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1D0-61A: Cloud Computing, Data Migration Strategies, Virtualization Techniques, System Security, Deployment Models

• Cloud Computing Fundamentals: Cloud computing delivers computing resources (servers, storage, databases, networking) over the internet.
  • Key benefits include scalability, elasticity, pay-as-you-go pricing, and reduced capital expenditure.
  • Common deployment models include public, private, hybrid, and community clouds.
  • Service models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Data Migration Strategies

• Data migration strategies are crucial for moving data from on-premises environments to cloud environments.
  • Assessment and planning: Identify data to migrate, evaluate cloud suitability, estimate migration costs and timelines.
  • Data validation and cleansing: Ensuring data quality before migration. Addressing inconsistencies and errors in data.
  • Data transformation: Modifying data formats to be compatible with the cloud platform.
  • Migration methods: Incremental/batch migration, direct migration, and reverse engineering.
  • Testing and validation: Confirm data integrity and functionality after migration.
  • Monitoring and maintenance: Ongoing monitoring of the migrated data in the cloud.

Virtualization Techniques

• Virtualization allows multiple virtual machines (VMs) to run on a single physical machine. This increases efficiency and reduces hardware resources needed.
• Hypervisors manage VMs and allocate resources – type 1 (bare-metal) and type 2 (hosted) hypervisors exist.
  • Key benefits: Resource optimization, cost savings, and flexibility.
  • Key Considerations: Performance impacts (CPU, RAM, I/O), security implications, and complexity in management.

System Security in Cloud

• Security in cloud computing is a key concern. Data breaches and vulnerabilities in the cloud have real-world impact.
• Access Control: Implementing mechanisms to restrict access to sensitive data based on roles and responsibilities.
  • This can include multi-factor authentication, strong passwords, and least privilege access models.
• Data encryption: Protecting data in transit and at rest with strong encryption algorithms.
• Vulnerability management: Proactively monitoring and patching vulnerabilities and threats.
• Compliance and regulations: Adhering to industry standards and regulations (e.g., HIPAA, PCI DSS).

Deployment Models

• Public Cloud: Resources shared among multiple users; typically offered by third-party providers (e.g., AWS, Azure, Google Cloud).
  • Cost-effective for small and medium businesses.
• Private Cloud: Resources dedicated to a single organization; can be on-premises or hosted.
  • Provides greater control and security.
• Hybrid Cloud: Combines public and private clouds to leverage the advantages of both.
  • Provides flexibility and scalability while maintaining control.
• Community Cloud: Shared resources among a specific group of organizations with common interests and requirements.
  • Can be beneficial for shared governance and security.

Explore the fundamentals of cloud computing, including benefits, deployment models, and service models. Dive into crucial data migration strategies that ensure effective data movement from on-premises to cloud environments while addressing data quality issues.

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