Client introduction
Among the most successful biotechnology companies in the world, our client is a values-driven company deeply rooted in science and innovation in order to transform new ideas and discoveries into medicines for patients with serious illnesses.
Problem Statement
- The existing system for incoming clinical trial data from multiple vendors struggles to process the high volume of data it receives on a daily basis.
- Manual validation is required before and after extraction, which is time consuming and error prone.
- The average load took two days to complete and was able to process 15 TB of data per month.
The Knowledge Lens Solution
- Established Enterprise Data Lake on Cloud platform
- Implemented necessary ETL operations for medical clinical trial data ingestion.
- A dedicated team was formed for managed services, aiding data loading and enhancements.
Technology
AWS | Databricks | Airflow | Spotfire
Benefits
- Improved data loading and system efficiency
- Monthly data processing capacity was increased to 25TB on average.
- Automated validation saved time and reduced errors.
Conclusion
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