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www.confluent.io | ||
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www.onehouse.ai
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| | | | | Discover how to effectively use Apache Hudi? along with Iceberg and Delta Lake in modern data lakes. This article explores why organizations need multiple table formats, breaks down their unique strengths, and explains how new tools enable seamless integration across formats while maintaining performance and reducing complexity. | |
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risingwave.com
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| | | | | Ingest, transform, manage, and query streaming data in your lakehouse | |
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www.getorchestra.io
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| | | | | Discover how Data Engineers are using Apache Iceberg in Snowflake to replace External Tables, thereby truly deocupling compute and storage. Find out more. | |
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jack-vanlightly.com
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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. | ||
