Swiss Army Django: Small Footprint ETL
Part of the DjangoCon AU specialist track
A case study of a single-application ETL system to scrape and enrich complex nested data and then expose it via GraphQL and Discord. It will dive into how to use these various async-based libraries together in a small footprint app.
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ETL systems have become commonplace in our world, from tiny personal web scrapers to complex distributed data pipelines. With Django offering a fully async API, new possibilities have opened to simplify the many different microservices into a single Python application that hosts the scrapers, query systems, and administrative interface all in one box. With this comes simplified code and deployment, and many other benefits.
This talk will cover a case study in building this kind of all-in-one ETL system, the components used, and how they all fit together. This includes both API and web scrapers, GraphQL for querying and streaming, and a Discord interface for notifications and control.
Noah Kantrowitz is a web developer turned infrastructure automation enthusiast, and all around engineering rabble-rouser. By day he runs infrastructure at Geomagical/IKEA and by night he makes candy and stickers. He is an active member of the DevOps community, and enjoys merge commits, cat pictures, and beards.