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.
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.
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