Chris Kucharczyk - How to make public data more accessible with "baked" data and DuckDB скачать в хорошем качестве

Chris Kucharczyk - How to make public data more accessible with "baked" data and DuckDB

Publicly available data is rarely analysis-ready, hampering researchers, organizations, and the public from easily accessing the information these datasets contain. One way to address this shortcoming is to ""[bake](https://simonwillison.net/2021/Jul/28...)"" the data into a structured format and ship it alongside code that can be used for analysis. For analytical work in particular, [DuckDB](https://duckdb.org/) provides a performant way to query the structured data in a variety of contexts. This talk will explore the benefits and tradeoffs of this architectural pattern using the design of [scipeds](https://docs.scipeds.org/)–an open source Python package for analyzing higher-education data in the US–as a case study. No DuckDB experience required, beginner Python and programming experience recommended. This talk is aimed at data practitioners, especially those who work with public datasets www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...