实时计算 Flink版推理的相关内容

文章 2024-08-15 来自：开发者社区

流计算引擎数据问题之Apache Flink 的完整性推理方案设计如何解决

问题一：MillWheel/Cloud DataFlow 架构设计中为何需要节点持久化低水印？ MillWheel/Cloud DataFlow 架构设计中为何需要节点持久化低水印？参考回答：在 MillWheel/Cloud DataFlow 的架构设计中，节点持久化低水印是为了在节点故障时能够快速恢复状态，从而保障数据处理的 Failover ...

问答 2024-06-17 来自：开发者社区

Apache Flink 和 Apache Spark Streaming在完整性推理方面有何不同？

Apache Flink 和 Apache Spark Streaming 在完整性推理方面有何不同？

问答 2024-06-17 来自：开发者社区

Apache Flink 的完整性推理方案是如何设计的？

问答 2022-09-07 来自：开发者社区

flink ml支持自己线下训练好的模型部署到流里面进行预测推理吗

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更新时间 2024-08-16 13:18:21

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实时计算Flink版

阿里云实时计算Flink版(Alibaba Cloud Realtime Compute)，完全兼容开源的Apache Flink，比开源性能提升2～3倍，提供了完整的告警、监控、日志的解决方案、提升开发效率且无运维成本，并有社区专家提供技术支持。

立即开通

产品控制台

产品文档

实时同步

MySQL 到 Hologres

Kafka 到 Hologres

功能对比

开源Flink对比

成本优化

作业自动调优