I’m joined this week by one of the authors of Apache Kafka In Action, to take a look at the state of Kafka, event systems & stream-processing technology. It’s an approach (and a whole market) that’s had at least a decade to mature, so how has it done? What does Kafka offer to developers and businesses, and which parts do they actually care about? What have streaming data systems promised and what have they actually delivered? What’s still left to build?
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Apache Kafka in Action: https://www.manning.com/books/apache-kafka-in-action
Pat Helland, Data on the Inside vs Data on the Outside: https://queue.acm.org/detail.cfm?id=3415014
Out of the Tar Pit: https://curtclifton.net/papers/MoseleyMarks06a.pdf
Martin Kleppmann, Turning the Database Inside-Out: https://martin.kleppmann.com/2015/11/05/database-inside-out-at-oredev.html
Data Mesh by Zhamak Dehghani: https://www.amazon.co.uk/Data-Mesh-Delivering-Data-Driven-Value/dp/1492092398
Quix Streams: https://github.com/quixio/quix-streams
XTDB: https://xtdb.com/
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0:00 Intro
3:38 What Is Apache Kafka?
10:52 Is Kafka A Database?
15:31 How Are Companies Adopting Kafka?
18:25 Is The Industry Dragging Its Feet On Async?
24:07 Inside Data vs Outside Data
30:48 Turning the Database Inside-Out
40:37 What Does The Future Of Kafka Look Like?
56:31 Disparate Teams and Data Meshes
1:07:51 What's the Use of Kafka Today?
1:11:16 Outro