Teradata offload to GCP
Client challenges
Project scope
Our client is a major retail player who wished to offload Teradata jobs to Google Cloud Platform for a cost effective and scalable data warehouse architecture.
Our Solution
Offload Teradata
Datametica helped the client to offload their Teradata Data Warehouse to GCP. As part of this engagement, we began with an assessment of the current system using Eagle, an accelerator for automated workload analysis. The analysis helped to build consensus among stakeholders and decision makers for the design of a Complete Migration Strategy.
A high-level approach in this case involved:
- Migration of Storage Layer
- Migration of Processing Layer with Required Optimizations
- Migration of Analytics/Access Layer
- Continuous Data Validation through direct comparison of the workload data on both Teradata platform and GCP using Pelican
Google Cloud Products We Used:
Benefits
Scalability
GCP is scalable to handle unpredicted demand patterns
User Migration
Seamless User Migration through well-defined Collaboration
User friendly
User-friendly tools that contribute to higher productivity
Better performance
Enables Advance Analytics and Artificial Intelligence capabilities
Automated plan
An automated plan based on the output reports