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Hudi资料收集

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Apache Hudi落地解读

  1. 字节跳动基于Apache Hudi的数据湖集成实践
    https://mp.weixin.qq.com/s/LzgN3IlSplCxmWdhJyQz7Q

  2. 字节跳动数据湖技术选型的思考
    https://mp.weixin.qq.com/s/X3e9SFYzIPAQb72YiN3SOw

  3. 基于Apache Hudi + Flink的亿级数据入湖实践
    https://mp.weixin.qq.com/s/sqDjyCRaXxDhQuVxzup02w

  4. OnZoom基于Apache Hudi的流批一体架构实践
    https://mp.weixin.qq.com/s/QYyq6skUc7Yz_Xow3qUd5g

  5. 移动云基于Apache Hudi湖仓一体的探索与实践
    https://mp.weixin.qq.com/s/Ukw2mYyT6gAaBJ8RO7zWGA

  6. Apache Kyuubi + Hudi在 T3 出行的深度实践
    https://mp.weixin.qq.com/s/9hDu2DHvL_61gxqMSQ_Tzg

  7. 字节跳动基于Apache Hudi构建实时数据湖平台实践
    https://mp.weixin.qq.com/s/CplrGCZKIaSEa5MauWm8-Q

  8. 顺丰科技 Hudi on Flink 实时数仓实践
    https://mp.weixin.qq.com/s/vCWWcWBsy6no1MmN2fQYCQ

  9. 37 手游基于 Flink CDC + Hudi 湖仓一体方案实践
    https://mp.weixin.qq.com/s/HJ-6ahtDGPr-OgHex4sdwA

  10. Apache Hudi在华米科技的应用-湖仓一体化改造
    https://mp.weixin.qq.com/s/TJj-2yGySglHgE57vz_ZfA

  11. Apache Hudi 在 B 站构建实时数据湖的实践
    https://mp.weixin.qq.com/s/RpupQivuIbvn0k2Kn9lUDg

  12. 基于Apache Hudi 的CDC数据入湖
    https://mp.weixin.qq.com/s/HejVDANLi7zCZnR606OQ3g

  13. 内附PPT下载｜万字干货！阿里云基于Apache Hudi构建Lakehouse实践探索
    https://mp.weixin.qq.com/s/fGZdpEECynGWnPJJRgxspw

  14. 字节跳动基于Apache Hudi构建EB级数据湖实践
    https://mp.weixin.qq.com/s/oZz_2HzPCWgzxwZO0nuDUQ

  15. 快手基于Apache Hudi的实践
    https://mp.weixin.qq.com/s/aE0OadGV1P8HB5_Ski1VGQ

  16. 触宝科技基于Apache Hudi的流批一体架构实践
    https://mp.weixin.qq.com/s/LPcWr-o1KWVa-xpAiOwjig

  17. 基于 Apache Hudi 构建实时数据湖在百信银行的实践
    https://mp.weixin.qq.com/s/teFKWFYFbyD1yM2d1uyh-g

  18. Apache Hudi在Linkflow构建实时数据湖的生产实践
    https://mp.weixin.qq.com/s/u--0XnVGXnSK9E7NvrbzuA

  19. 数仓实时化改造：Hudi on Flink 在顺丰的实践应用
    https://mp.weixin.qq.com/s/H17GXC_ucC6oVLSrv6VBQQ

  20. 最佳实践 | 通过Apache Hudi和Alluxio建设高性能数据湖
    https://mp.weixin.qq.com/s/OdzM5uphMsVWGvNxJ36l9w

  21. 使用Apache Hudi + Amazon EMR进行变化数据捕获(CDC
    https://mp.weixin.qq.com/s/GdWIGOoMmYRZcBYtOmYBHA

  22. T3 出行构建数据湖上低延迟数据 Pipeline 的实践
    https://mp.weixin.qq.com/s/jfDDsdHV-qfouz-NlK_ZFQ

  23. 使用Apache Hudi + Amazon S3 + Amazon EMR + AWS DMS构建数据湖
    https://mp.weixin.qq.com/s/1GdAbZkslByHgT5KO0Ek-A

  24. 印度最大在线食品杂货公司Grofers的数据湖建设之路
    https://mp.weixin.qq.com/s/U7HH0xK2p48AjlCY5yQ-4g

  25. Apache Hudi助力nClouds加速数据交付
    https://mp.weixin.qq.com/s/kzxgZHjSUQ2stcKrqaUpoQ

  26. Apache Hudi：统一批和近实时分析的存储和服务
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484493&idx=1&sn=66ba1de318960b2ea50f7db95aea3f4b&chksm=e81f513bdf68d82d9b656feb267787c1b74cbc03499ffddecf18ece9f6f15cc9678b7c80b74f&token=1688466117&lang=zh_CN#rd

  27. 贝壳找房利用Hudi构建准实时数仓的实践与挑战
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484149&idx=1&sn=3f222357c7ad844291d0fa29c1c0956a&chksm=e81f5783df68de95e19753910fa793399385217a39312885e48ab78e83d3e9f00689e9194928&token=1889807326&lang=zh_CN#rd

  28. Uber如何使用Apache Hudi近实时分析全球网络
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484384&idx=1&sn=4237093d9405c81f457a3e3886b1178c&chksm=e81f5696df68df8074bc23fc5c8cd4a10e062ce5d9592781f0a885a94fdf210644ae4b0db156&token=1688466117&lang=zh_CN#rd

  29. 使用Apache Hudi和Debezium构建健壮的CDC管道
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484456&idx=1&sn=fcb720042833eb92d57ec8c221173521&chksm=e81f515edf68d8484f870dce27aeceef297003eaaf096920f1dd110f1887fb30196fad91f9a9&token=1688466117&lang=zh_CN#rd

  30. Yotpo基于Apache Hudi构建零延迟数据湖实践
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484287&idx=1&sn=90cfff67d335fe2a5d4974a10c545119&chksm=e81f5609df68df1fef79068550153d8d51025a15a7963f41677a261c7adb31bfccfc7b6a496a&token=1688466117&lang=zh_CN#rd

  31. 电商公司Drop数据湖实践
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484731&idx=1&sn=cf5737be378318e080945d50a1e56368&chksm=e81f504ddf68d95bb9a6aed35f2884ec95da468e9d9ea79d06dd690a6e3bd2d9b727175fd567&token=1688466117&lang=zh_CN#rd

  32. 在线房产公司Zillow数据迁移至数据湖实践
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484713&idx=1&sn=d4af25ff7c3e0e20d3c3320d76b4d264&chksm=e81f505fdf68d949568ab4b1794cd09a41bc583eacf34fcd68a783f9c17fd60fbbc328a17108&token=1688466117&lang=zh_CN#rd

  33. Apache Hudi在医疗大数据中的应用
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484921&idx=1&sn=b625cbac007c9cb8b9e1c911f140906e&chksm=e81f508fdf68d999507211b76f057eec5d601399590471dc92e03b834eec99b1ef7c7d441b6a&token=1688466117&lang=zh_CN#rd

  34. Uber基于Apache Hudi构建PB级数据湖实践
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484948&idx=1&sn=c6f2a8381f339f8a6fbc8c9570a219f5&chksm=e81f5362df68da74634b8269a97a8bbd837bd48a6a1a9715850972ab5f0e1c0910ebac624589&token=1875876260&lang=zh_CN#rd

  35. Apache Hudi丨数据服务实时化利器(在金融场景应用
    https://mp.weixin.qq.com/s/XX9lKWMdAAjGAUG9jLDh1g

Apache Hudi社区

  1. Onehouse 对Apache Hudi开源社区的承诺
    https://mp.weixin.qq.com/s/Mh6nCzeybFeOcTSq83VcGg

  2. 重磅！基于Apache Hudi的商业公司Onehouse成立
    https://mp.weixin.qq.com/s/v1l8y8mIAwoHXajr46RWyA

  3. 来自Apache Hudi PMC Chair的新年大礼包，请注意查收！（附带2021年精选文章集合）
    https://mp.weixin.qq.com/s/zQfyHl7Ux8KPSobRHa3Mjw

  4. Apache Hudi 0.10.0版本重磅发布！
    https://mp.weixin.qq.com/s/UMca2QqGc2eTM3RcKh_SuA

  5. Apache Hudi PMC畅谈Hudi未来演进之路
    https://mp.weixin.qq.com/s/ZNn1xLPHyso2uHaLg1icxQ

  6. Apache Hudi 0.9.0版本重磅发布！更强大的流式数据湖平台
    https://mp.weixin.qq.com/s/_5cFgA5y-fk3b50z8XRYZg

  7. Apache Hudi：新一代流式数据湖平台
    https://mp.weixin.qq.com/s/NKPPDsdk85XJe6w4-kwx9A

  8. 恭喜！Apache Hudi社区新晋多名顶级互联网公司Committer
    https://mp.weixin.qq.com/s/d9r63-4XWr2g1L8Nn_JNpg

  9. 对话Apache Hudi VP，洞悉数据湖的过去现在和未来
    https://mp.weixin.qq.com/s/bTG5fF93o7NE8DqwuaKCtA

  10. 恭喜！Apache Hudi社区新晋顶级互联网公司的PMC和Committer
    https://mp.weixin.qq.com/s/4YsZKViWJrLBWa84d-aY5Q

  11. 致广大数据湖用户的一封信
    https://mp.weixin.qq.com/s/nxDN15v2cf7evo-vktnh0Q

  12. Apache Hudi 0.8.0版本重磅发布
    https://mp.weixin.qq.com/s/VDRr7UzpFPC7cLPmyxrGCw

  13. 恭喜！Apache Hudi社区新晋两位Committer
    https://mp.weixin.qq.com/s/bsRFuW9kGPrU68qwdZ6_yg

  14. Apache Hudi 0.7.0版本重磅发布
    https://mp.weixin.qq.com/s/g8wn6rWUeQ6ID97YyUYoSg

  15. Apache Hudi 0.5.1版本重磅发布
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484532&idx=1&sn=e8f029e5f52fc689397ef2c45dc5bc4d&chksm=e81f5102df68d81420b8b0ebfdb8ed3579c4328b733cfd609c9974f72e7ac58702c822c9ff42&token=1688466117&lang=zh_CN#rd

  16. 终于！Apache Hudi 0.5.2版本正式发布
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484753&idx=1&sn=84062160260ae20f68bb61a254781e0f&chksm=e81f5027df68d9316a8d9b10e2a54804110e7af1e0dcadf1060cfadc0a55acb741a19c990af0&token=1688466117&lang=zh_CN#rd

  17. 特性速览 | Apache Hudi 0.5.3版本正式发布
    https://mp.weixin.qq.com/s/JzDgbbUlrfeQlvtrSJnnVg

  18. Apache Hudi 0.6.0版本重磅发布
    https://mp.weixin.qq.com/s/S0qWaxRtJw9v6ikBVyfylw

  19. 恭喜！Apache Hudi社区新晋多位Committer
    https://mp.weixin.qq.com/s/Hcl4bgcbGpbCxax3dVAf-g

  20. 快速参与下一代数据湖顶级项目ApacheHudi
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484278&idx=1&sn=59f916b6e6a7dfcd36ee88fca21c5442&chksm=e81f5600df68df16e27ad013295eaf858a5d141d55659ccc9dd42817ec34e21b7c34252878e8&token=1688466117&lang=zh_CN#rd

  21. 一行代码成为Apache Contributor
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484782&idx=3&sn=e1c121710c14680e0bf69349eb68424c&chksm=e81f5018df68d90e81b98beb10ff47bc0217774799126abb5ac4a04e25ebb26cf0342aef7016&token=1688466117&lang=zh_CN#rd

  22. 揭秘！Apache Hudi社区发展数据盘点
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484745&idx=1&sn=87ea91750f73067210d6c0a8a29981c9&chksm=e81f503fdf68d92913e494e1cce47a6a63d82ce6440651f2f92737aeeae8282a8442abc373e5&token=1688466117&lang=zh_CN#rd

  23. 首次！Apache Hudi在Apache官方Blog出镜
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484749&idx=1&sn=85d2f9b0cea440aaf4504538d1105729&chksm=e81f503bdf68d92d6732df3cdb6f28b5553387091ff7607ed891fdce408387dde07683dec196&token=1688466117&lang=zh_CN#rd

  24. 一个月增长4倍！数据揭示当下增长势头最猛的开源数据湖框架！
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484871&idx=1&sn=8cf1bbc4fed470f0d52c275e150ce273&chksm=e81f50b1df68d9a7cd577a3f99de08b80e57dab13e6011a01e292bb03fc6b7ecdf039a6248b5&token=1889807326&lang=zh_CN#rd

  25. 官宣！ASF官方正式宣布Apache Hudi成为顶级项目
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484935&idx=1&sn=328222565584a2f3fd5f2ad650bc02bc&chksm=e81f5371df68da672e4cccbad0aea046177696199e6a3330c814d0c2e231d9955d38c5fccbc6&token=1688466117&lang=zh_CN#rd

  26. Apache Hudi：云数据湖解决方案
    https://mp.weixin.qq.com/s/p3uM_wBuYAgyBMk4zmkCdw

Apache Hudi入门系列

  1. 重磅！Vertica集成Apache Hudi指南
    https://mp.weixin.qq.com/s/pIsT_XKaWuLSZrzYING6Vg

  2. 超硬核！详解Apache Hudi灵活的Payload机制
    https://mp.weixin.qq.com/s/xhZCVHw5WhePDUPKns6J_g

  3. 一文带你了解Lakehouse的并发控制：我们是否过于乐观？
    https://mp.weixin.qq.com/s/CqfCx_HCiob0nDNn-ALkCQ

  4. Apache Hudi与Hive集成手册
    https://mp.weixin.qq.com/s/TksSvRC1Hof1Io1iuEpJzQ

  5. 一文彻底弄懂Apache Hudi不同表类型
    https://mp.weixin.qq.com/s/xvjgHc27KOvr68Sq1RB59g

  6. 如何将数据更快导入Apache Hudi？
    https://mp.weixin.qq.com/s/yez2xHnw3iB7chripozY0w

  7. 一文彻底掌握Apache Hudi异步Clustering部署
    https://mp.weixin.qq.com/s/xYtPSTxCmYofe_i2cVHwxQ

  8. Apache Hudi内核之文件标记机制深入解析
    https://mp.weixin.qq.com/s/pEO9lFyVFpvKk5cl-vF83w

  9. 更进一步节省空间！Apache Hudi支持虚拟键
    https://mp.weixin.qq.com/s/E7IfnqYJ2IIMjKefVFpkpQ

  10. 基于Apache Hudi构建数据湖的典型应用场景介绍
    https://mp.weixin.qq.com/s/pT9iXtGS4xUOzIkD7rIXJw

  11. Apache Hudi测试、运维操作万字总结
    https://mp.weixin.qq.com/s/pjBc2pi3MFgr2Bta7k0XDw

  12. Streaming与Hudi、Hive湖仓一体！
    https://mp.weixin.qq.com/s/JG75IFnEg3XIa_yhsJCRuw

  13. 通过Z-Order技术加速Hudi大规模数据集分析方案
    https://mp.weixin.qq.com/s/qos-QGfJbP36qwq9h1lUkQ

  14. 一文彻底理解Apache Hudi的清理服务
    https://mp.weixin.qq.com/s/jIm0P6GnYXMdG6kyg_8bjA

  15. 17张图带你彻底理解Hudi Upsert原理
    https://mp.weixin.qq.com/s/BYHwv16A7LAKZMnOZ8y6mA

  16. Apache Hudi集成Spark SQL抢先体验
    https://mp.weixin.qq.com/s/1ElF9fh5k7j7HD_3HKRDqQ

  17. 提升50%+！Presto如何提升Hudi表查询性能？
    https://mp.weixin.qq.com/s/ZnoME7YXRXhYhgq-qbtyMA

  18. 一文彻底掌握Apache Hudi的主键和分区配置
    https://mp.weixin.qq.com/s/A59QDz7W06uCM_yZkmkYQw

  19. Apache Hudi核心概念一网打尽
    https://mp.weixin.qq.com/s/fSweg0XkFcOvsD3q8tKiNg

  20. Apache Hudi：CDC的黄金搭档
    https://mp.weixin.qq.com/s/Y7aQxkNgnfnvpgwF7dJIUg

  21. 使用Apache Hudi构建下一代Lakehouse
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247485669&idx=2&sn=e002ff5805715e7435e8510c4bf9dab3&chksm=e81f5d93df68d485d73faf7375f81dc9e7d5b1cce5b23d60fce5244953a8c05c5105551a0217&token=1639107443&lang=zh_CN#rd

  22. 查询时间降低60%！Apache Hudi数据布局黑科技了解下
    https://mp.weixin.qq.com/s/5JdOrI8HpJJS-xkVG296iw

  23. Apache Hudi：不一样的存储、不一样的计算
    https://mp.weixin.qq.com/s/B3qMjqzI_U20wQmE0NSsrQ

  24. 只会数仓？数据湖与Apache Hudi有必要了解一下
    https://mp.weixin.qq.com/s/Y70PI1kFt1JQ5jKatvCSTw

  25. Hi, Data Lakers!这里有一份来自PMC Chair的新年礼包，请注意查收！
    https://mp.weixin.qq.com/s/A00schLliJDQAIAq0AxSLA

  26. 数据湖框架选型很纠结？一文了解Apache Hudi核心优势
    https://mp.weixin.qq.com/s/74BPBr-KC2wUn5cqorm-wQ

  27. Apache Hudi初学者指南
    https://mp.weixin.qq.com/s/RpwPhtVFwyT34pX-PgMzOQ

  28. 什么是Apache Hudi
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484017&idx=1&sn=bb49c45012e76d871225055736afc0db&chksm=e81f5707df68de11f810c4e6b006770ba6a9f05853b907de38ee87e2713725ac9bb988d8e30c&token=1688466117&lang=zh_CN#rd

  29. 查询Hudi数据集
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484025&idx=1&sn=4fee9f81e0ca5e3e1a41db2cde978051&chksm=e81f570fdf68de19912bdf2acc3e213f1f8879180525238da1b7e1b37eaad304ea5ea7445718&token=1688466117&lang=zh_CN#rd

  30. Hudi性能测试
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484044&idx=1&sn=84c4b01e0b50422a957cdd4dcb763bb5&chksm=e81f57fadf68deec184c725c5ebcf866d3258147eb81ae716a381a63c58bc33e5f41a303c25b&token=1688466117&lang=zh_CN#rd

  31. Hudi运维与管理
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484181&idx=1&sn=1186492f303c0cefce6a5b3acc43f902&chksm=e81f5663df68df758e91b67995d814b44a1093555a5fd6fe1ce2c98aecd089b146afc020177c&token=1688466117&lang=zh_CN#rd

  32. Hudi常见问题汇总
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484317&idx=1&sn=d5d12509ec1a8d8fffe04cb10fbebde4&chksm=e81f56ebdf68dffdb31cb8f9e77df7e9158525bc3fd4b767ea51408e806165d1ec648820dc4d&token=1688466117&lang=zh_CN#rd

  33. Hudi使用问题汇总1
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484326&idx=1&sn=074443acf90c01b11541b21f9ccf29f1&chksm=e81f56d0df68dfc6cbeddebbaa96d0d5376df2ca6b0b1254c2177c42b8671aa2361a215bce07&token=1688466117&lang=zh_CN#rd

  34. Hudi使用问题汇总2
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484331&idx=1&sn=71bb945ec48015c8ab6eedc53571c9b1&chksm=e81f56dddf68dfcb6cb34af4c36d200348aa7b5ca56240fb972752b062a7cccffe5a2453310a&token=1688466117&lang=zh_CN#rd

  35. Hudi与其他类似系统比较
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484312&idx=1&sn=945d7a1d108a1ebca8aaae970aa097b8&chksm=e81f56eedf68dff818677f59f10ff0f7fa256af825ea6124465972837dfa29b46aa2e12b6eb0&token=1688466117&lang=zh_CN#rd

  36. 一文了解Apache Hudi架构、工具和最佳实践
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484429&idx=1&sn=5b964860be5796f5516e131308fbb970&chksm=e81f517bdf68d86db844453d9d858c7166ebdbf86f657471c5886f20b00efbfae68af430efeb&token=1688466117&lang=zh_CN#rd

  37. Apache Hudi与Delta Lake对比
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484636&idx=1&sn=f219238e88aa0236a03c4a8136f558c8&chksm=e81f51aadf68d8bc3d16c80fd5d5bc4b20dcda71754ef90b82984ac781134d9734f3f5db319f&token=1688466117&lang=zh_CN#rd

  38. Apache Hudi 设计与架构最强解读
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484778&idx=1&sn=1a52540f24c641ac17ec647fa241fbe9&chksm=e81f501cdf68d90a35e0277bc053274d8a2b0f36c639949c5e87ff7256b7b6e07388bbd39bf5&token=1889807326&lang=zh_CN#rd

  39. 使用Apache Hudi构建大规模、事务性数据湖
    https://mp.weixin.qq.com/s/u_POo_VIRXAdwamE9NA0Pw

  40. Apache Hudi重磅特性解读之全局索引
    https://mp.weixin.qq.com/s/Moehs1Ch3j7IVANJQ1mfNw

  41. Apache Hudi重磅特性解读之存量表高效迁移机制
    https://mp.weixin.qq.com/s/-A_1xNQCw0hJPB561u05rw

  42. Apache Hudi + AWS S3 + Athena实战
    https://mp.weixin.qq.com/s/M0Fa0lxUJX-hCIQc9toZsg

  43. 详解Apache Hudi如何配置各种类型分区
    https://mp.weixin.qq.com/s/LUXhVmk2l0xO_cDzbD3fLA

Apache Hudi实战

  1. 使用Apache RocketMQ + Hudi 快速构建 Lakehouse
    https://mp.weixin.qq.com/s/NZxfY2gUWLu8744AX9TeOA

  2. 查询性能提升3倍！Apache Hudi 查询优化了解下？
    https://mp.weixin.qq.com/s/ZjFJaH20y0n-xz_VXt5bxw

  3. 基于Apache Hudi构建智能湖仓实践（附亚马逊工程师代码）
    https://mp.weixin.qq.com/s/x2qVK0lhx9PsqI2SPFn1Iw

  4. Hudi实战 | 在CDH 6.3.0上运行HoodieDeltaStreamer
    https://mp.weixin.qq.com/s/YVzcLBUfrsCZFZYNSmKMZw

  5. Flink CDC + Hudi + Hive + Presto构建实时数据湖最佳实践
    https://mp.weixin.qq.com/s/evHkDPlw9UQ0PFxQnZpZ3g

  6. 超详细步骤！整合Apache Hudi + Flink + CDH
    https://mp.weixin.qq.com/s/FYPdx3y0nJDA7ErFMqJVZA

  7. 硬核！Apache Hudi中自定义序列化和数据写入逻辑
    https://mp.weixin.qq.com/s/ZmFZVM1XGEEIpmdpONMHTA

  8. 基于Hudi的流式CDC实践一：听说你准备了面试题？
    https://mp.weixin.qq.com/s/l7K2gVgMtCgvak8WKsKbqQ

  9. Flink + Hudi，构架仓湖一体化解决方案
    https://mp.weixin.qq.com/s/duPhdr2zMmUUCYUPATX1oQ

  10. 使用 Flink Hudi 构建流式数据湖
    https://mp.weixin.qq.com/s/dENepO21H3r5IOrdk7BuSw

  11. Apache Hudi数据不知道怎么删除？多种方式快来Get！
    https://mp.weixin.qq.com/s/Fww-y1W-56t5B_a81-YAsA

  12. Apache Hudi实时入湖之DeltaStreamer最佳实践
    https://mp.weixin.qq.com/s/mHuGE452PzTrFp7-IDNihw

  13. 实时数据湖：Flink CDC流式写入Hudi
    https://mp.weixin.qq.com/s/JkCbvfJhdz9gT-Tw1pUBIA

  14. Debezium-Flink-Hudi：实时流式CDC
    https://mp.weixin.qq.com/s/l5XzXv5lXyfEryG2rk2Wdg

  15. 在AWS Glue中使用Apache Hudi
    https://mp.weixin.qq.com/s/9z4rmokVJJpc14qosXLU8g

  16. Apache Flink 1.12.2集成Hudi 0.9.0运行指南
    https://mp.weixin.qq.com/s/TKFZYwPbGSKSo29EDeaPIw

  17. 重磅！解锁Apache Flink读写Apache Hudi新姿势
    https://mp.weixin.qq.com/s/cG4KQdcjd98s8h0Ini7CWw

  18. 集成才是硬道理！ 用它构建一个完整的Hadoop
    https://mp.weixin.qq.com/s/Wjk6XnjyaPQrrWWPf0UlUQ

  19. 实战 | Apache Hudi回调功能简介及使用示例
    https://mp.weixin.qq.com/s/M-ptQ3olf14IxaAPu9t5ww

  20. Apache Hudi + Flink作业运行指南
    https://mp.weixin.qq.com/s/d1GI1AYHUpKwz_VHd41CeA

  21. Apache Hudi异步Compaction的不同部署模型全面汇总
    https://mp.weixin.qq.com/s/OEM61L3FhdLAeTghtGAeUA

  22. 解锁Apache Hudi删除记录新姿势
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484537&idx=1&sn=9c5b3dbe69f774cf0f8b031143e329ee&chksm=e81f510fdf68d819720cb66102b386b3a19a537a45c40ee0cdc8e7f2bc6fa4ad469549dce8bb&token=1688466117&lang=zh_CN#rd

  23. Apache Hudi入门指南(含代码示例
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484661&idx=1&sn=175da977c9772cece04117878da78247&chksm=e81f5183df68d8951f589bcb86b4d3b9e8b3c25139041bd5e8c5ae9d2b2e8835662bb66d1fbb&token=1688466117&lang=zh_CN#rd

  24. 真香！PySpark整合Apache Hudi实战
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484853&idx=1&sn=7e13d8d99c430a1d1f06aeb3f1641085&chksm=e81f50c3df68d9d58edf9a408120899aecdd8a5833a7f754a95f3c6c2a78aece82d63110b134&token=1688466117&lang=zh_CN#rd

  25. 实战|使用Spark Struct Streaming写入Hudi
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484788&idx=1&sn=414463f7a693e05cd627b9ee85574449&chksm=e81f5002df68d9149f3a10db41ba032264a43726593f516f243dc2c68ee993b1dd30a44cb0da&token=1688466117&lang=zh_CN#rd

  26. 实战|将Apache Hudi数据集写入阿里云OSS
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484795&idx=1&sn=7188640c658e671f9228a3b4184c1d94&chksm=e81f500ddf68d91b506ac2543cfd2cac0227c1df06170e26a43352056f56a3d43585817424aa&token=1688466117&lang=zh_CN#rd

  27. 实战！使用Apache Hudi DeltaStreamer将数据流写入OSS
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484869&idx=2&sn=bb6f1f456f88bc253922a59010370177&chksm=e81f50b3df68d9a514d346e9cd2ff2512d9ef7d2339b1c4011701f41a41687f45a5cab06cd85&token=1889807326&lang=zh_CN#rd

  28. 使用Amazon EMR和Apache Hudi在S3上插入，更新，删除数据
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484067&idx=1&sn=8bd4962eb228f43bce04195131a67fb5&chksm=e81f57d5df68dec336f1ba5c294b891abf1959da967797788272cb434b7b3a6e4531c60e05a0&token=1688466117&lang=zh_CN#rd

  29. 官宣！Apache Hudi与AWS Database Migration Service深度集成
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484556&idx=1&sn=1cd85bfaede42c5ba13623a65bd66390&chksm=e81f51fadf68d8ec19c79bae0dcecf87095c4d02863184fce4ab7db950195211c40bdf3fcc98&token=1688466117&lang=zh_CN#rd

  30. Delta Lake 和 Apache Hudi 两种数据湖产品全方面对比
    https://mp.weixin.qq.com/s/Z8YLr5jmkm7u5WgHQZk1MQ

  31. 最强指南！数据湖Apache Hudi、Iceberg、Delta环境搭建
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484688&idx=1&sn=2b337511eb0f6761372c3d83638d3464&chksm=e81f5066df68d97005e4f154c0f7ccac2fc6701fab98c1820570f84f2459c1d301b5b54b68a2&token=1688466117&lang=zh_CN#rd

  32. 实战 | 将Kafka流式数据摄取至Hudi
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484810&idx=1&sn=b844d07c4497ed98d269772ab92538e0&chksm=e81f50fcdf68d9eacc28edb9e597f6bd8cadef96db7dcdbb7fa421c93e5ced0fbd4e268216f1&token=1889807326&lang=zh_CN#rd

  33. Apache Hudi数据备份与转储利器：HoodieSnapshotExporter
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484758&idx=1&sn=eeed11357e072c21d205db7c2d638ea0&chksm=e81f5020df68d936ed24d6a05c9b6874ea6fa809960b16950fa7c8d0d19170e72e14f74ab49d&token=1688466117&lang=zh_CN#rd

  34. 实战！配置DataDog监控Apache Hudi应用指标
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484926&idx=1&sn=f2e965cb626c37bde868c286004b3208&chksm=e81f5088df68d99e199c96f3a77db69f48982746e5b07ebe93bd75bceb485dc010d502a862e2&token=1688466117&lang=zh_CN#rd

  35. 调优 | Apache Hudi应用调优指南
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484939&idx=1&sn=5af5f3893242820bb91f3e5ea0e9e81b&chksm=e81f537ddf68da6b79123fab084a6b618f2769ca149774d28e488bf7f507a7c35471449470e9&token=1688466117&lang=zh_CN#rd

  36. 填坑 | 线上Presto查询Hudi表异常排查
    https://mp.weixin.qq.com/s/ik_AKz82G8jPbVq9Q02umg

  37. Apache Hudi表自动同步至阿里云数据湖分析DLA
    https://mp.weixin.qq.com/s/zBAYJlsnbbFAjWnmOqjTlQ

数据湖扩展

  1. Apache Hudi助力Uber低成本构建开源大数据平台
    https://mp.weixin.qq.com/s/P-tYGLl5Gv8QBUrJ12Q-0Q

  2. Lakehouse元数据管理技术深度解析
    https://mp.weixin.qq.com/s/8GknnV6AYH5Mk83rCII7TQ

  3. 大数据技术变革正当时，Apache Hudi了解下？
    https://mp.weixin.qq.com/s/JCrnpACBbhSrrscqgto5HA

  4. Lakehouse: 统一数据仓库和高级分析的新一代开放平台
    https://mp.weixin.qq.com/s/2lFPPZYabBc3C77HJbIvzQ

  5. 什么是LakeHouse
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484542&idx=1&sn=4616da2eeb37d15d891b298787a6999b&chksm=e81f5108df68d81e18aac88511d728ba39e36f9d36f9defe23c462a826c8c16f46b27b53be15&token=1688466117&lang=zh_CN#rd

  6. Data Lake架构揭秘
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484655&idx=1&sn=f130b356b77027779a6fcb6801f33290&chksm=e81f5199df68d88f72bae107f5749a8ce395c59dabd237daedd831690477886d0a5983537fb6&token=1688466117&lang=zh_CN#rd

Apache Hudi生态

  1. 数据湖正当时！华为云MRS重磅集成Apache Hudi
    https://mp.weixin.qq.com/s/uPdFB2tVXkjBxJvx25YhQQ

  2. 重磅！AWS升级对Apache Hudi的集成
    https://mp.weixin.qq.com/s/LM6h0hydr0pCQiSJfBFYSw

  3. Apache Hudi在Hopsworks机器学习的应用
    https://mp.weixin.qq.com/s/LBZVeOXdR4t4X6aj6X_Lsg

  4. 基于Apache Hudi 湖仓一体的大数据生态体系
    https://mp.weixin.qq.com/s/eNPKXJHeUR2dE1lTyL7d6w

  5. KIP-5：Apache Kylin深度集成Hudi
    https://mp.weixin.qq.com/s/pbMU_B8P0R6A9Utuhkivnw

  6. 使用Apache Pulsar + Hudi 构建Lakehouse方案了解下？
    https://mp.weixin.qq.com/s/6lGicldAz0eeDYGWnDtfJg

  7. Apache Hudi C位！云计算一哥AWS EMR 2020年度回顾
    https://mp.weixin.qq.com/s/9Dy5NUgJ-vm386VjOQf0Rw

  8. Apache Hudi与Apache Flink更好地集成，最新方案了解下？
    https://mp.weixin.qq.com/s/91tQFCW3hi7YJR3qIi3ARg

  9. 数据湖风暴来袭！阿里云EMR重磅发布Apache Hudi
    https://mp.weixin.qq.com/s/i4IYvMeUj_wFu1kkCvoOJg

  10. CDH 6.3.0安装Apache Hudi指南
    https://mp.weixin.qq.com/s/Uh8p8wAjUPSja1mxgpYbsQ

  11. 假期结束还没缓过神？Hudi on Flink最新进展了解下？
    https://mp.weixin.qq.com/s/LvKaj5ytk6imEU5Dc1Sr5Q

  12. 划重点！AWS的湖仓一体使用哪种数据湖格式进行衔接？
    https://mp.weixin.qq.com/s/WIZLdGkbGpDFM2yfc5f64w

  13. 速度！Apache Hudi又双叕被国内顶级云服务提供商集成了！
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484817&idx=1&sn=7e00c3270bfee162315e91de92a6506a&chksm=e81f50e7df68d9f1e1e8657dc5b3066c21033a334c5c5c81ef1e9fb645231a95a368b64b0efd&token=1889807326&lang=zh_CN#rd

  14. 终于！Apache Hudi与Impala完成整合
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484588&idx=1&sn=1e879cfed15e88aa7ea6473fc7eef199&chksm=e81f51dadf68d8ccf4b34bf491904a98ed5aa65eadd25d9de25729dd08f0565c4394edd45c5e&token=1688466117&lang=zh_CN#rd

  15. 如何将Apache Hudi应用于机器学习
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484696&idx=2&sn=eeaaac04d14c9d0a90729e245f4a6d39&chksm=e81f506edf68d978a8c57f0089d1ba927ab760d828546e87ae463c9909a912c319c29297270b&token=1688466117&lang=zh_CN#rd

  16. Apache Hudi与机器学习特征存储
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484696&idx=1&sn=68a5fe0e716f4977c77d9c29497ee324&chksm=e81f506edf68d978328534805ce160d85e0022382e206bcd8e0b4860a146ea45a4fec662ff0b&token=1688466117&lang=zh_CN#rd

  17. 生态|Apache Hudi集成Apache Zeppelin
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484806&idx=1&sn=3c77ce46da5abb0d475ad2c771624cfe&chksm=e81f50f0df68d9e605bd8f23fe60108e28cc305e27e6411f8543268eefe1454530ba983c80a5&token=1688466117&lang=zh_CN#rd

  18. 基于Apache Hudi 和 Kylin 构建准实时高性能数据仓库
    https://mp.weixin.qq.com/s/KafqWfAJOJGV3tVOTAo-hA

  19. 生态 | Apache Hudi插上Alluxio的翅膀
    https://mp.weixin.qq.com/s/C_hIhyD7swCcrglR5aiQkQ

  20. 官宣！AWS Athena正式可查Apache Hudi数据集
    https://mp.weixin.qq.com/s/u_W9VWH4JuBC0hLYBZCPAQ

Apache Hudi源码解读

  1. Bloom Filter在Hudi中的应用
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484157&idx=1&sn=dc836ddd9b264939144543b21852a15b&chksm=e81f578bdf68de9d1325ee7c40844ea06f9c22196f6e4abc76543bae75b534e7ea3b3dd12023&token=1688466117&lang=zh_CN#rd

  2. Upsert在Hudi中的实现分析
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484162&idx=1&sn=1090086c32838ca0b671c5658cf13d2c&chksm=e81f5674df68df62727aecfe3a7d33d659e5fababb82fb1cfc19120863d510a9e0aeb6152170&token=1688466117&lang=zh_CN#rd

  3. 生产者-消费者模型在Hudi中的应用
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484174&idx=1&sn=5189aee1083dcbb4b7fcfff7812a6e08&chksm=e81f5678df68df6e88c3f11a7c0d82f0edbc3d8406ef4d6a7be587ad14bf6ad3ad0b932fdb35&token=1688466117&lang=zh_CN#rd

  4. Hudi Log日志文件格式分析（一）
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484245&idx=1&sn=2a15fe761eed4da9a7dd68f5fcf673af&chksm=e81f5623df68df3592ab883e7450cd74181effcec3ef7ac9c2a9285acb47eb33e8a0ae0543ac&token=1688466117&lang=zh_CN#rd

  5. Hudi Log日志文件写入分析（二）
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484251&idx=1&sn=27b10b6562afd99078d9b2517061871a&chksm=e81f562ddf68df3b9fe3048b5dc7d2471e6bbfc7a90312a831bdf4fc5d7e483ddb3204e95ef4&token=1688466117&lang=zh_CN#rd

  6. Hudi Log日志文件读取分析（三）
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484291&idx=1&sn=85027ef17c4c5111db534d88c6c0efcb&chksm=e81f56f5df68dfe3ef3653ecf1a86ba16b4dcf361fe3674062c62b50d1e3cf6d1aedf5c2b13a&token=1688466117&lang=zh_CN#rd

  7. ApacheHudi Archive（归档）实现分析
    https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484336&idx=1&sn=a8bf90045f97e6daead7f2d8492da344&chksm=e81f56c6df68dfd04208b9c94f3e6c86fceba5bbe299ce172ca4efc72f71cb130429e7da1b92&token=1688466117&lang=zh_CN#rd

  8. Apache Hudi Savepoint实现分析
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