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Go Time: Golang, Software Engineering
All about Kafka
Jan 16, 2024
In this podcast, the hosts discuss various topics related to Kafka, including its use cases, complexities, and considerations. They also explore event-driven architecture, retention time in Kafka, challenges of backlog, and opinions on Twitter and rebranding. Additionally, they provide advice on crypto, learning, and the importance of continuous learning in the software engineering industry.
01:25:47
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Quick takeaways
- Kafka is a distributed data source optimized for ingesting, processing, and streaming data, serving as a data pipeline or database.
- Kafka enables event-driven architectures and decouples systems, beneficial for teams working with microservices or diverse products.
Deep dives
Kafka as a Distributed Data Source
Kafka is a distributed data source optimized for ingesting, processing, and streaming data. It can handle large volumes of data from multiple sources, acting as a data pipeline or even a database.
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