Migrate from on-prem current state legacy analytics platform to a scalable and fully managed analytics platform on Azure
A leading P&C insurance company based in the United States realized the need to move from the legacy architecture to a more stable cloud-based platform to attain better insights on operational parameters.
Trianz was engaged by the client to perform migration from legacy architecture to a fully managed analytics platform.
Business Challenge
Owing to the legacy architecture, the client was burdened with higher operating costs and was not able to provide agile insights. Although senior management has set ambitious and aggressive goals for moving to the cloud, the obstacles on the ground were daunting.
Approach
Trianz proposed to collaborate with the client to establish a reference architecture with a pilot engagement where every technical component was evaluated, benchmarked and assessed for functional & non-functional requirements/use cases.
Transformational Effects
A stable solution architecture on Azure ready to migrate the data & analytics platform from on-prem to Azure in a managed services model.
Established an ingestion and integration framework to migrate the existing Informatica workloads to ADF2.0 to leverage the power of distributed compute and scale on demand.
An on-demand, scalable, cost effective data lake platform on Azure for migrating the existing data from Teradata reduced the cost of licenses and operations significantly.
Created the ELT architecture with data lake to enable the raw data discovery, analysis & self service requirements.
Azure Data Lake Analytics (ADLA) driven by U-SQL enabled more efficient ways of running the machine running algorithms and models.
End-to-end Automated Deployment process leveraging DevOps increased the frequency of the data availability to the business.
