Introducing Quine - A Streaming Graph for Modern Data Pipelines

Introducing Quine - A Streaming Graph for Modern Data Pipelines

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Fine-Grained Graph Versioning data storage: event sourcing

8 of 17

8 of 17

Fine-Grained Graph Versioning data storage: event sourcing

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Introducing Quine - A Streaming Graph for Modern Data Pipelines

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  1. 1 Intro
  2. 2 Name Collisions the trine, the quine, the trine
  3. 3 The Streaming Problem
  4. 4 Introducing Quine
  5. 5 What is it good for? some Quine use cases
  6. 6 Graph Data Model
  7. 7 Graph Compute Model the Actor Model
  8. 8 Fine-Grained Graph Versioning data storage: event sourcing
  9. 9 Data Persistence configurable: on-machine, network, cloud, or custom
  10. 10 Design Assumptions
  11. 11 Graph Queries custom compiler, AST instructions to graph interpreter
  12. 12 Historical Queries query the past
  13. 13 Standing Queries
  14. 14 Stateful Data Streams fast and durable
  15. 15 Enterprise Architecture fits in between two Kalka streams
  16. 16 Data-Driven Events
  17. 17 Interpret High-Volume Data merge many sources, trigger action in real-time

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