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newsroom.aboutrobinhood.com | ||
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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.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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aicontentfy.com
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| | | Maximize customer acquisition with the power of video marketing. Learn tips for creating compelling content, choosing the right channels, and measuring success. | ||
