GraphQL for Everyone
summary
Argues GraphQL can be a universal access point and reports on Apollo research into GraphQL accessibility while showing concrete tooling: a druid-to-graphql translator that maps schema fields to Druid tables (works for flexible analytics but returns client-unfriendly shapes and confusing group-by semantics), use of graphql-lodash transforms to aggregate/sort/filter in the console (powerful but non‑intuitive and spec-breaking), and Explorer features like table mode and CSV export.
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chapters (8)
- 0:00Start
- 3:31build your join logic into your schema
- 5:38optimize my graphql queries
- 5:58avoid adding extra processing at the graphql layer
- 8:16start segmenting the data in that query
- 18:29turn json into tables
- 19:30building accessibility into our tools
- 20:09build integrations between graphql and other tools
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