Cesar Garcia
César García Sáez. Computer Systems Engineer and MSc in Data Science at Universitat Oberta de Catalunya (UOC). His Master's Thesis focused on how to improve the data quality of open data datasets.
Speaker and researcher specialized on digital fabrication, Internet of Things, and open data. 14+ years working in IT as System Administrator at Madrid City Council IT department, before becoming an independent researcher. Passionate about the potential of open source technologies and open data to improve how do we relate with our cities, in a more profound, meaningful way.
Graduated at FabAcademy 2013 digital fabrication course. Co-founder of Makespace Madrid. He has been documenting and sharing stories about the maker movement for the last years at La Hora Maker, a podcast/youtube channel.
Sessions
In this session we will demonstrate how to measure and improve the quality of open data using the open source Python library Great Expectations. Attendees will learn quality testing techniques and methodologies to prepare high-quality longitudinal datasets using Open Data from cities and regional portals.