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用户行为数据通常具有庞大的数据量，存储成本较高，且缺乏统一的格式，导致处理难度较大。常用的宽表模型虽查询效率高，但冗余度高、存储空间大、维护复杂，更新慢。本文基于Flink+MongoDB+Hologres更好地实现宽表的数据分析，以游戏行业的用户行为数据分析为示例，构建用户行为数据宽表进行数据分析的方案。

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文章 2024-09-25 来自：开发者社区

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1. 产品内引导与文档帮助（1）引导与文档体验在实际体验过程中，阿里云实时计算Flink版提供了较为完整的产品内引导和丰富的文档支持，使得初学者也能较为顺利地上手。引导体验：产品界面引导：在首次进入阿里云实时计算Flink版时，系统会提供逐步的操作指引，帮助用户快速了解如何创建作业、接入数据源、配置任务以及监控任务运行情况。产品内的引导设计友好且清晰，尤其是在作业调试、数据接入等步...

文章 2024-09-23 来自：开发者社区

引言在数据驱动的时代，实时数据处理和分析已经成为企业获取竞争优势的重要手段。虽然日常工作主要聚焦于Web开发，但我对大数据技术同样充满兴趣。近日，有幸参与了阿里云实时计算Flink版的体验活动，从多个维度对其进行了深入的评测。本报告旨在分享我的使用体验，为同样对实时数据处理感兴趣的开发者提供参考。体验地址https://developer.aliyun.com/topic/flink-get.....

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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