~/talk

Goku Flow: A Self-Service Data Pipeline Builder

Talkat Scale By the Bay 2020 · on Friday, 2020-11-13· at 18:05· data, Online· [data-engineering]
name:Lei Gao
links:none on file
slides:none on file

Workday runs about 20 petabytes of operational logs and ingests roughly 2 trillion messages per month; Goku Flow is an in-house, patent-backed self-service pipeline and workflow engine that hides IO and infra details, offers a DSL plus drag‑and‑drop UI, schedules and horizontally runs Spark/Python/R tasks, integrates with Kafka, Spark, Delta data lake and Superset, and automatically publishes versioned tables and email notifications. The demo shows flows completing, tables registered and dashboards auto-refreshing, demonstrating the system works for automated analytics across 740+ service tables.

AI-written summary · about

  1. 0:00Start
  2. 1:51Workday
  3. 2:29Water Bucket Problem
  4. 3:49Optimize Cloud Services
  5. 5:33Self-service Analytics
  6. 8:22Big Data Platform
  7. 9:24Goku Platform (Technology)
  8. 13:30Goku Flow
  9. 13:45Solutions
  10. 14:43Requirements
  11. 16:47Distributed Data Pipeline
  12. 18:13DSL Language
  13. 19:11UI Flow Builder
  14. 19:32Goku Context (API Abstraction)
  15. 21:00Data Sharing
  16. 22:36Demo
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