In this post, we'll explore different approaches for ingesting Kafka data into Iceberg tables, examine strategies for managing schema evolution, and discuss when to choose one method over another based on your specific use case.
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Shaurya's Blog
Data, ML and Software Engineering
- Enriching a stream using an external database with Apache Flink
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- Consuming CDC logs from a backend database to an Iceberg table using Flink
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- Hands-on with the Flink DataStream API using the Java client
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- Introduction to Stream Processing, Apache Flink and the DataStream API
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