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jack-vanlightly.com
| | delta.io
4.9 parsecs away

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| | This post compares the stengths and weaknesses of Delta Lake vs Parquet.
| | www.onehouse.ai
4.6 parsecs away

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| | The open data lakehouse is much more than a data table format, such as Apache Hudi?, Apache Iceberg?, and Delta Lake. It works seamlessly with all three table formats and serves as a transactional database on the data lake.
| | henrikwarne.com
5.7 parsecs away

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| | What a great book Designing Data-Intensive Applications is! It covers databases and distributed systems in clear language, great detail and without any fluff. I particularly like that the author Martin Kleppmann knows the theory very well, but also seems to have a lot of practical experience of the types of systems he describes. There is...
| | www.morling.dev
26.8 parsecs away

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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.