- Unified Data Environment
- Real-time Analytics
- Scalability and Flexibility
- Cost Efficiency
- Innovation and Agility
- Security and Compliance
- Global Reach
- Ecosystem Integration
- Disaster Recovery and Business Continuity
Our data engineering strategy for migration from SAP to GCP
Industry-leading and cost-effective best practices in data engineering and data migration.
Key features:
Overview of GCP products & services
Data governance, data security, and continuous support
Best practices in architecture design and deployment of services
Agile Methodology - Data Engineering Perspective:
- Infrastructure-as-Code (IaC): Streamline provisioning and management for data pipelines, infrastructure, and ETL jobs.
- User Stories: Aligns development with client needs, ensuring a clear path for creating valuable data solutions.
- Sprint Management: Enabling iterative enhancements to data processes, adapting to evolving project requirements.
- Continuous Integration (CI) and Continuous Deployment (CD): Facilitate seamless code integration and automated deployment for data engineering solutions.
Multi-Geography Roll-out - Remote Collaboration and Compliance:
- Virtual Apps, Desktops, Unified Workspace (e.g., Citrix Workspace): Ensure seamless collaboration on client projects.
- Compliance: Ensure adherence to diverse local regulations and laws during remote work.
- Productivity: Use of virtualized environments to empower offshore teams to maintain productivity while complying with specific legal frameworks in different geographical locations.
