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dennyglee.com | ||
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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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| | | | | A simpler and more efficient approach to streaming. | |
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www.madewithtea.com
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| | | | | This article is about aggregates in stateful stream processing in general. I write about the differences between Apache Spark and Apache Kafka Streams along concrete code examples. Further, I list the requirements which we might like to see covered by a stream processing framework. | |
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archive.qconsf.com
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| | | Debezium (noun | de·be·zi·um | /d?:?b?:zi??m/) - Secret Sauce for Change Data Capture Apache Kafka is a highly popular option for asynchronous event propagation between microservices. Things get challenging though when adding a services database to the picture: How can you avoid inconsistencies between Kafka and the database? Enter change data capture (CDC) and Debezium. By | ||
