From On-Prem to Google Cloud for a leading US Healthcare Player 


Challenge 

A prominent healthcare organization in the USA, managing diverse business lines including retail, pharmacy, health insurance, managed healthcare, and population health management, sought to modernize its data ecosystem. The goal was to transition from on-prem systems to the Google Cloud Platform (GCP) to leverage the full potential of their data, enhance scalability, and streamline operations. However, the cloud migration posed significant challenges, such as handling large datasets, ensuring data integrity, and maintaining uninterrupted business operations during the transition. 

Solution 

Emids executed a well-orchestrated, multi-phase migration plan. The journey began with meticulous planning, involving comprehensive collection of details about the client’s workloads, schemas, users, and source systems. This exhaustive analysis was crucial in crafting a tailored migration strategy for a smooth transition. 

Migration Planning: Detailed information on workloads, schemas, users, and source systems was collected, forming the basis for a customized migration strategy. 

Schema Design and Data Rationalization: The target schema was designed and data sets were rationalized to optimize performance and scalability on GCP. 

Data Migration: Data was migrated from Hadoop to BigQuery, encompassing both one-time data transfers and the setup of incremental workload processes. This included data replication, transformation, and ingestion to ensure efficient and accurate data movement. 

Workload and Application Migration: The migration of workloads and applications was managed by converting code from HQL to BigQuery SQL and adapting scripts using Python and PySpark. Airflow was utilized for job scheduling and monitoring to ensure seamless and continuous operations.

Application Management and Validation: Robust application management tools were set up, including cost monitoring with Apptio and application monitoring with New Relic. Extensive data validation, end-to-end testing, and a production parallel run were conducted to ensure system reliability.

Decommissioning and User Adoption: The Hadoop environment was decommissioned, on-prem data removed, scheduled jobs terminated, and end-user adoption of the new system facilitated.

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Outcome 

The project delivered transformative results for the healthcare organization: 

Successful Migration: The healthcare business unit’s data was seamlessly migrated to GCP, establishing a new semantic layer that improved data accessibility and usability. 

Enhanced Data Processing: The new cloud infrastructure provided enhanced data processing capabilities, supporting a broader range of use cases and enabling rapid scaling to meet business demands. 

Operational Excellence and Cost Management: With modern tools and optimized processes, the organization experienced improved operational efficiency, reduced costs, and better data management. The cloud environment facilitated advanced analytics and business insights, driving growth and innovation. 

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