FAIR Data Forecast interview with Andrew Padilla, Owner, Datacequia LLC
At the beginning of his career, Andrew Padilla built up an extensive base of experience in healthcare information systems. That experience served him well when he led the development of a cloud native system for a healthcare provider from bare metal. At the time, cloud computing was in its infancy and public clouds were an absolute no-no in industries that had to work with lots of sensitive personal information.
Padilla was an analyst and startup development lead before he joined IBM as a senior software engineer in 2010–the result of an acquisition. At IBM, he focused on SaaS and big data analytics projects, among other things, then switched over to Watson Health Imaging. He left IBM in 2018 and ended up starting Datacequia, his own consultancy, in 2019.
Since then, in addition to his consulting work, he’s immersed himself in shared data-centric architecture, which demands the use of knowledge graphs and/or data meshes for data quality, scalability and sharing purposes.
Having seen so much critical data, metadata and logic trapped in silos, Padilla is a great believer in open collaboration and broad information sharing, which is how we bumped into each other online.
When referring to the impending fusion of databases, software and metadata, he told me in this interview, “I’d bet money that’s where the future lies.”
Have a listen and find out more about Andrew Padilla, his take on the importance of FAIR data, and his powerful concept of knowledge DNA.
