Mark Jensen
Director of Data Science, Center for Technical and Operations Support, Frederick National Lab for Cancer Research
Washington, Washington, D.C., United States
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Mark has been working in big data in cancer research for over 12 years. His expertise runs from software development and management to data architecture and modeling. He's been a Neo4j booster since Version 1.0 and is the author of a widely used driver in Perl called REST::Neo4p.
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Driving Cancer Data Interoperability: Python, Liquibase, and Neo4j in Action at the MDB
Accurately reflecting the evolving data models, mappings, and terminology of the National Cancer Institute's Cancer Research Data Commons (CRDC) in the Metamodel Database (MDB) is crucial for cancer data interoperability.
In this session, Nelson and Mark will demonstrate how to use Liquibase, Neo4j, & Python to manage changes in Neo4j databases like the MDB efficiently. You'll learn how to leverage the Liquichange Python package to generate Liquibase Changelogs with Cypher queries from data model files and implement Liquibase with Neo4j, which provides version control, change previewing, and integration with CI/CD workflows, enabling comprehensive change management capabilities.
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