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www.morling.dev | ||
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www.onehouse.ai
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| | | | | Learn how Apache Flink?, Apache Kafka? Streams, and Apache Spark? Structured Streaming stack up against each other in terms of engine design, development experience, and more. | |
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quix.io
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| | | | | Dive deep into the performance and limitations of Python client libraries to choose the best stream processing solution for your data. | |
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debezium.io
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| | | | | Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong. | |
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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. | ||
