Join Dr. Prakriteswar Santikary on April 11th at 9 am for his presentation Modern Data Platform at Scale –Best Practices on Microservices Architecture, Lambda Architecture and Serverless Computing.
Clinical trials are fraught with missteps and data quality issues that often create costly delays in bringing life-saving drugs and diagnoses to the market. Often times, data quality issues and data integration challenges cause clinical trials to fail. Today’s complex clinical studies, which are also distributed around the globe, generate vast amounts of data from disparate sources, mobile health devices, internet of things (IOT), systems, vendors and clinical endpoints. Not only is the clinical data voluminous, it often comes at tremendous velocity commingled with data variety including a combination of structured, unstructured and binary data format. On top, these disparate systems don’t talk to each other in a standard manner, creating data silos and inhibiting real-time integrated clinical trial information for real-time decision making, risk analysis, and regulatory compliance monitoring.
This presentation will be focusing on the architecture of modern, cloud-based real-time data integration and analytics platform that ingests any type of clinical data at scale from any data sources. The presentation will focus on laying out the architectural building blocks of this modern data platform including explaining our “serverless” data pipeline, cloud architecture and deployment, continuous integration and deployment pipeline, platform scalability, data governance, and master data management.