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Classroom Contents
Immutable Data Science with Datomic, Spark and Kafka
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- 1 Intro
- 2 Microservices
- 3 Board
- 4 How is it stored?
- 5 How is it queried?
- 6 How do we get ?
- 7 Enriched entity
- 8 Entity from cursor and id
- 9 Multiple DBS
- 10 No interference
- 11 Using it
- 12 Sample message
- 13 Sample query
- 14 Model service
- 15 Output
- 16 Scoring time
- 17 Training time
- 18 RDDs: our use case
- 19 Sharding queries
- 20 Data access
- 21 Learning curve
- 22 Testimonials
