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Enterprise Data Migration and Security Enhancement to Cloud Infrastructure
  1. case
  2. Enterprise Data Migration and Security Enhancement to Cloud Infrastructure

Enterprise Data Migration and Security Enhancement to Cloud Infrastructure

neoteric.eu
Media
Advertising & marketing

Challenges Faced by Media Organizations in Transitioning to Secure Cloud Data Solutions

The client, a media company, faced imminent support contract expiration for their on-premises data center and required migration of all critical data and resources to a secure, cloud-based environment. The organization operated with sensitive data, including personally identifiable information (PII) and non-PII data, necessitating strict security measures and environment isolation. Additionally, the client needed to complete this migration within a tight three-month timeframe to avoid operational disruptions and ensure privacy compliance.

About the Client

A mid-to-large media organization specializing in advertising solutions, data analysis, and personalized content delivery, seeking secure and compliant cloud data infrastructure.

Goals for Cloud Migration and Data Security Enhancement

  • Complete the migration of all technical and data resources to a cloud platform within 3 months.
  • Ensure robust security and compliance for sensitive client data, including PII and non-PII, by implementing environment isolation and controlled access.
  • Automate migration processes for efficiency and reliability, utilizing Infrastructure-as-Code (IaC) principles.
  • Establish seamless and secure communication channels with the client’s technical team to facilitate effective knowledge transfer and project execution.
  • Create scalable, manageable, and disaster-resilient cloud environments for development, staging, and production use.

Core Functionalities for Cloud Data Migration and Security Platform

  • Automated infrastructure deployment using Infrastructure-as-Code tools such as Terraform.
  • Secure, isolated cloud environments for handling PII and non-PII data separately, with strict network controls.
  • Migration automation to move large datasets, including databases and storage, to the cloud platform.
  • Integration of identity-aware access controls to authenticate users and restrict data access based on roles.
  • Logging and monitoring mechanisms to ensure security compliance and facilitate disaster recovery.
  • Support for rapid environment duplication for testing and iterative development.

Preferred Technologies and Architectural Approaches

Cloud platforms with secure networking features (e.g., Virtual Private Cloud, VPC)
Terraform for Infrastructure-as-Code automation
Secure cloud storage solutions with environment segregation capabilities
Identity-aware proxy services for access control
Database migration tools compatible with cloud environments
Cloud-native security and monitoring tools

Essential Integrations and External System Requirements

  • Existing databases and storage solutions for migration
  • Identity and access management systems for security controls
  • Monitoring and alerting tools for security compliance
  • Client's data science and analytics platforms for ongoing data operations

Critical Non-Functional System Requirements

  • Complete data migration within 3 months with minimal disruption
  • High data security standards, including encryption at transit and rest
  • Environment segregation to handle PII and non-PII data securely
  • Scalability to support growing data volumes and user access
  • Auditability and compliance with privacy regulations
  • Automated deployment and update processes to reduce manual errors

Projected Business Benefits from Cloud Migration and Data Security Enhancement

Successful migration will enable the client to maintain secure, compliant, and highly available data infrastructure, reducing operational risks and facilitating future scalability. Expected outcomes include timely project completion within three months, enhanced data security and privacy, improved operational efficiency through automation, and a resilient multi-environment setup that supports continuous development and analytics activities.

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