Data Platform Modernisation on GCP
Data Platform Modernisation on GCP
As the volume of data, data sources and data types increases, so must a modern business’s ability to capture, process and analyse it. A modern business must embrace data from multiple sources that wouldn’t sit easily with traditional on-premise infrastructures.
The data may be required real time at fine detail for just a single event before reverting back to type. A good example would be Black Friday retail analysis – a business may make up to 40% of its annual sales in the one 24 hour period and need to make decisions to maximise returns immediately but wouldn’t need to maintain and support that capacity for the rest of the year.
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As well as tactical enablement a data platform modernisation program will offer improvements to a typical on-premise estate by a phased rollout to migrate from a Cap-Ex to Op-Ex model, improved resilience / high availability capability, improved governance and ability react in line with the business.

As well as tactical enablement a data platform modernisation program will offer improvements to a typical on-premise estate by a phased rollout to migrate from a Cap-Ex to Op-Ex model, improved resilience / high availability capability, improved governance and ability react in line with the business.
The Google Cloud Platform (GCP) architecture is designed for the flexibility and ease of use to drive complex IT requirements hand in hand with business analytical capability with the expected cost reduction and security first design expected of a modern enterprise platform. By leveraging Kubernetes and containers such as Docker, you can migrate your troublesome legacy applications into a cloud environment as part of the data platform modernisation program.
As well as the expected cost savings and performance enhancements, GCP will also provide best in class analytics services to collate, process and stream the multitude of available data sources to give near real time decision support to the business and your collaborators throughout your value chain.
Discover
- Identify Suitable Applications / IT functions
- Identify Stakeholders
- Identify IT Assets
Assess
- Confirm migration eligibility and cloud compatibility
Plan
- Build test plans
- Build sign off docs with Stakeholders
- Agree back out plans
Migrate
- Run a test migration
- Optimise plan
- Live Migrate
- Hyper care transition to support
Support
- Take into BAU
- Start continuous maintenance/ optimisation plan
