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newsroom.aboutrobinhood.com | ||
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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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www.notion.so
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| | | | | How Notion build and grew our data lake to keep up with rapid growth | |
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www.onehouse.ai
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| | | | | A thorough comparison of the Apache Hudi?, Delta Lake, and Apache Iceberg? data lakehouse projects across features, community, and performance benchmarks. This includes a focus on common use cases such as change data capture (CDC) and data ingestion. | |
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www.onehouse.ai
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| | | Format wars are over. The real innovation? Building data platforms that empower teams to use the right tool for their needs. Discover how an open, flexible approach unlocks innovation and efficiency. | ||
