20 minutes to build a Serverless COVID-19 REST and GraphQL APIs
summary
Builds a cleaned COVID-19 dataset from messy daily CSVs into five MongoDB collections, using a Python ETL to normalize dates, join a lookup table, convert lat/long to GeoJSON and compute daily deltas via aggregation pipelines. Loads data into MongoDB Atlas, exposes a public REST webhook and a GraphQL endpoint with MongoDB Realm (anonymous auth enabled), and visualizes with MongoDB Charts; final combined collection contains about 1.1 million documents and the APIs are live and functional.
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chapters (9)
- 0:00Intro
- 1:20Overview
- 4:00Daily Reports
- 6:18Time Series
- 8:45Lookup Table
- 10:50Collections
- 12:50MongoDB Atlas
- 15:05MongoDB Realm
- 19:50REST API
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