The multi-cloud strategy needs the agility to move workload across from one provider to the other and adopt an ‘everything’-as-a-service mentality. Inter alia this will require having a clear data model for the institutions to move data from one provider to the other.
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One of the technology challenges of migrating to the cloud is Data. Cloud migrating naturally focuses on applications but for a successful migration, it is paramount to consider data, its governance, and management. Establishing a strategic data architecture will make sure that high-quality and traceable data is available for use for all consumers.
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ALFA create a common, connected data sets and services to facilitate a microservice architecture.
Irrespective of target deployment, data created using ALFA model are data-quality checked on creation.
Guaranteed data quality
Evolutionary, not revolutionary
Create a ubiquitous data and services model that can be deployed on-premise or to cloud platforms.
Accelerate IT delivery
ALFA Advantage on Cloud Migration
The toolset not only help you accelerate the move to cloud but provide consistency and repeatability.
Developers focus on APIs and business logic, and less on infrastructure and technology nuances.
Common, connected data sets and services
Create common, connected data sets and services (data model-as-a-service) to facilitate microservice architecture.
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ALFA enables expressing data and services in a platform-agnostic manner enabling the definitions to be used for on-premise or one or many cloud vendor-based solutions.
Data Governance: control of data at all times
Control of data at all times -location and data versioning.
Organisation to have full oversight across on-premise and cloud over what data resides where, where it is published and consumed, attach PII and masking tags to identify and apply compliance rules.