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lakefs.io
| | rmoff.net
1.4 parsecs away

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| | [AI summary] This article discusses the evolution of data engineering in 2022, focusing on storage and access methods for analytical data, including the transition from traditional data warehouses to modern data lakehouses and open formats.
| | www.ssp.sh
1.1 parsecs away

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| | Prominent table formats include Delta Lake, Apache Iceberg, and Apache Hudi.
| | delta.io
1.7 parsecs away

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| | Delta Lake Universal Format (UniForm) enables Delta tables to be read by any engine that supports Delta, Iceberg, and now, through code contributed by Apache XTable, Hudi.
| | jack-vanlightly.com
3.0 parsecs away

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| In the world of open table formats (Apache Iceberg, Delta Lake, Apache Hudi, Apache Paimon, etc), an emerging trend is to provide interoperability between table formats by cross-publishing metadata. It allows a table to be written in table format X but read in format Y or Z. Cross-publishing is the idea of a table having: * A primary table format that you write to. * Equivalent metadata files of one or more secondary formats that allow the table to be read as if it were of that secondary format.