Completed
Brooklin is now open-source!
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Classroom Contents
Dive into Streams with Brooklin
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- 1 Intro
- 2 Nearline Applications
- 3 Heterogeneous Data Systems
- 4 Building the Right Infrastructure
- 5 Pluggable Sources & Destinations
- 6 Capturing Live Updates
- 7 Change Data Capture (CDC)
- 8 Streaming Bridge
- 9 Mirroring Kalka Data
- 10 Brooklin Kalka Mirroring
- 11 Application Use Cases
- 12 Client makes REST call to create datastream
- 13 Datastream is written to Zookeeper
- 14 Leader coordinator is notified of new datastream
- 15 Leader coordinator calculates work distribution
- 16 Leader coordinator writes the assignments to ZK
- 17 Zookeeper is used to communicate the assignments
- 18 Coordinators hand task assignments to consumers
- 19 Consumers start streaming data from the source
- 20 Consumers propagate data to producers
- 21 Producers write data to the destination
- 22 Destinations can be shared by apps
- 23 Brooklin Architecture
- 24 Brooklin in Production
- 25 Brooklin is now open-source!
