Optimize large-scale data analysis workflows with Nextflow
February 17 2025, 16:00 GMT / 17:00 CET / 11:00 ET / 08:00 PT
Join us for an insightful webinar where we will dive into how the Seven Bridges Platform, in combination with the Nextflow tool from Velsera, can streamline complex workflows and enhance your data analysis processes.
In this session, you will learn key strategies for optimizing workflow orchestration, including multi-instance execution, process instance hints, and memorization, to improve pipeline performance, reduce execution times, and lower operational costs. We will also explore the interoperability and flexibility of running Nextflow and Common Workflow Language (CWL) workflows across various cloud environments, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, allowing seamless data integration and the ability to analyze diverse, multi-modal datasets.
Finally, discover effective cost and performance optimization techniques, including how to utilize spot instances to reduce cloud computing costs by up to 70–90% and leverage scalability by executing workflows with up to 3,500 parallel instances. Whether you are looking to improve efficiency or reduce costs, this webinar will provide valuable insights into how to optimize your workflows for large-scale data analysis.
Speakers
Dr. Jack DiGiovanna is the Chief Science Officer at Velsera, overseeing Scientific Program Management and Researcher Education & Adoption teams. He leads the company’s scientific strategy across government, non-profit, biotech, pharma, and diagnostic sectors. Dr. DiGiovanna specializes in building consensus, fostering trust, and translating complex scientific concepts for diverse audiences, from students to executives. With a PhD in machine learning and years in translational research, he has advanced NIH biomedical data ecosystems and global initiatives like the ZERO Childhood Cancer Flagship. His goal is to empower researchers, improve data access, and positively impact patients.
Moderator
