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www.confluent.io | ||
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yokota.blog
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| | | | | Today's data scientist has a plethora of options when processing data in Apache Kafka. In terms of stream processing, popular options are Kafka Streams, ksqlDB, and Apache Flink. In terms of real-time analytics, one can choose from Apache Druid, Clickhouse, Apache Pinot, and Apache Doris. One aspect of these systems is that they all support... | |
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rmoff.net
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| | | | | [AI summary] The text discusses the use of ksqlDB for processing and analyzing syslog data, including filtering, streaming to Elasticsearch and Neo4j, and building stateful aggregations. It highlights the real-time capabilities, historical data processing, and integration with other tools for deeper analysis. | |
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www.decodable.co
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| | | | | How CDC can help with microservices, caching, and more. | |
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www.morling.dev
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| | | One of the ultimate strengths of Java is its strong notion of backwards compatibility: Java applications and libraries built many years ago oftentimes run without problems on current JVMs, and the compiler of current JDKs can produce byte code, that is executable with earlier Java versions. For instance, JDK 16 supports byte code levels going back as far as to Java 1.7; But: hic sunt dracones. The emitted byte code level is just one part of the story. It's equally important to consider which APIs of the ... | ||
