Future-Proof Your Digital Trials with a Data Lakehouse Architecture 

Duration: 45 minutes

Today’s clinical trials require innovative approaches to managing the complexity & volume of data collected across the development lifecycle. With the rise of DCTs & modern trial approaches like the use of Artificial Intelligence (AI) & Machine Learning (ML), new challenges exist that traditional clinical data warehouses & data lakes are not designed to support. A necessary evolution has occurred for a Data Lakehouse architecture that eliminates data silos and increases productivity, flexibility, and scalability to better support modern clinical trials.

This webinar will examine what is driving the need for a digital data fabric & the technology infrastructure required to support the future of clinical trial digitization. Additionally, eClinical Solutions shares the blueprint for a Unified Clinical Data Lakehouse and discusses how the elluminate® Clinical Data Cloud, built on this blueprint, delivers the Lakehouse promise resulting in faster time to value and decreased cycle times. 
Key Takeaways:

  • What is a Clinical Data Lakehouse and why is it so critical now? 
  • Benefits of a Data Lakehouse vs. data lake/data warehouse. 
  • How elluminate’s Lakehouse blueprint provides a scalable and unified architecture for seamless data flows and interoperability while facilitating the use of AI/ML in support of Data Sciences disciplines. 
  • Strategic focus areas for further enablement, including embedded AI capabilities, Statistical Computing Environment (SCE), data sciences workbench, and data sharing. 


Venu Mallarapu
Vice President, Global Strategy and Operations
eClinical Solutions 



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