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karolgalanciak.com | ||
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avilpage.com
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| | | | | A short hands on practical guide to get started with Apache Kafka for people who are in a hurry. | |
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www.morling.dev
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| | | | | Postgres logical replication, while powerful for capturing real-time data changes, presents challenges with TOAST columns, whose values can be absent from data change events in specific situations. This post discusses how Debezium addresses this through its built-in reselect post processor, then explores more robust solutions leveraging Apache Flink's capabilities for stateful stream processing, including Flink SQL and the brand-new process table functions (PTFs) in Flink 2.1. | |
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blog.scaledcode.com
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| | | | | By default interactive queries in Kafka streams does not support querying across nodes, let us change that. | |
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www.ververica.com
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| | | Discover Apache Paimon, the powerful streaming lakehouse that combines the flexibility of data lakes and the optimization of data warehouses. | ||
