Future-Proof Your Digital Trials With A Data Lakehouse Architecture

The management of today's clinical trials demands innovative approaches to handle the exponential growth in data volume and diversity collected throughout the development process. With the rise of Decentralized Clinical Trials (DCTs) and other modern trial methods, the industry is realizing that traditional clinical data warehouses and data lakes are no longer reliable.

As a result, Data Lakehouse architecture is becoming a necessity for overcoming these data challenges, capable of eradicating data silos while enhancing performance, flexibility, and scalability. Not only does this evolution empower better support for contemporary clinical trials, but it also lays a strong foundation for the future of digitization. Moreover, the Lakehouse architecture enables the adoption of advanced techniques such as Artificial Intelligence and Machine Learning (AI/ML), enabling faster progress in data science and facilitating secondary data usage beyond the submission pipeline.

In this webinar, Vice President of Global Strategy and Operations at eClinical Solutions Venu Mallarapu explores the factors driving the demand for a digital data fabric and the required technology infrastructure to bolster clinical trial digitization.

During the presentation, Mallarapu also provides a blueprint for Unified Clinical Data Lakehouse and delves into how elluminate® Clinical Data Cloud fulfills the promise of the concept, resulting in quicker time-to-value and reduced cycle times.