Sev Leonard
Sev is a technologist, educator, and musician with a focus on data platforms and jazz. He's worked at Intel, Oregon Health & Science University, a few Bay Area startups, and his training and consulting business, The Data Scout. He's an O'Reilly contributor, including the author of Cost-Effective Data Pipelines and an invited speaker on data & AI. He loves cats, the forest, and baked goods.
Session
Many Pythonistas find themselves engaged in the work of tending and defending data, ensuring high quality data is available for products and analytics users. Much like defending a home against wildfires, there are proactive steps you can take to shield your data from disaster. In this talk you’ll see a comprehensive approach to data quality, implementing checks at various parts of the data lifecycle. You'll also learn a bit about wildfire preparedness along the way. If you’ve experienced the chaotic nature of real-world data and are looking for a way to quench the flames this session is for you.