# hudi-resources **Repository Path**: ch3un9/hudi-resources ## Basic Information - **Project Name**: hudi-resources - **Description**: 汇总Apache Hudi相关资料 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 2 - **Created**: 2023-08-02 - **Last Updated**: 2023-08-02 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ![poweredby](https://raw.githubusercontent.com/leesf/hudi-resources/master/poweredby-0327.png) ## Apache Hudi社区 [Apache Hudi 0.8.0版本重磅发布](https://mp.weixin.qq.com/s/VDRr7UzpFPC7cLPmyxrGCw) [恭喜!Apache Hudi社区新晋两位Committer](https://mp.weixin.qq.com/s/bsRFuW9kGPrU68qwdZ6_yg) [Apache Hudi 0.7.0版本重磅发布](https://mp.weixin.qq.com/s/g8wn6rWUeQ6ID97YyUYoSg) [恭喜!Apache Hudi社区新晋多位Committer](https://mp.weixin.qq.com/s/Hcl4bgcbGpbCxax3dVAf-g) [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) [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) [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) [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) [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) [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) [Apache Hudi:云数据湖解决方案](https://mp.weixin.qq.com/s/p3uM_wBuYAgyBMk4zmkCdw) ## Apache Hudi入门系列 [一文彻底掌握Apache Hudi的主键和分区配置](https://mp.weixin.qq.com/s/A59QDz7W06uCM_yZkmkYQw) [Apache Hudi核心概念一网打尽](https://mp.weixin.qq.com/s/fSweg0XkFcOvsD3q8tKiNg) [Apache Hudi:CDC的黄金搭档](https://mp.weixin.qq.com/s/Y7aQxkNgnfnvpgwF7dJIUg) [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) [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) [Apache Hudi:不一样的存储、不一样的计算](https://mp.weixin.qq.com/s/B3qMjqzI_U20wQmE0NSsrQ) [只会数仓?数据湖与Apache Hudi有必要了解一下](https://mp.weixin.qq.com/s/Y70PI1kFt1JQ5jKatvCSTw) [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) [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) [Apache Hudi初学者指南](https://mp.weixin.qq.com/s/RpwPhtVFwyT34pX-PgMzOQ) [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) [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) [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) [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) [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) [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) [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) [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) [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) [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) [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) [使用Apache Hudi构建大规模、事务性数据湖](https://mp.weixin.qq.com/s/u_POo_VIRXAdwamE9NA0Pw) [Apache Hudi重磅特性解读之全局索引](https://mp.weixin.qq.com/s/Moehs1Ch3j7IVANJQ1mfNw) [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) [Apache Hudi + AWS S3 + Athena实战](https://mp.weixin.qq.com/s/M0Fa0lxUJX-hCIQc9toZsg) [详解Apache Hudi如何配置各种类型分区](https://mp.weixin.qq.com/s/LUXhVmk2l0xO_cDzbD3fLA) ## Apache Hudi落地解读 [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) [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) [使用Apache Hudi + Amazon EMR进行变化数据捕获(CDC)](https://mp.weixin.qq.com/s/GdWIGOoMmYRZcBYtOmYBHA) [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) [使用Apache Hudi + Amazon S3 + Amazon EMR + AWS DMS构建数据湖](https://mp.weixin.qq.com/s/1GdAbZkslByHgT5KO0Ek-A) [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) [Apache Hudi助力nClouds加速数据交付](https://mp.weixin.qq.com/s/kzxgZHjSUQ2stcKrqaUpoQ) [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) [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) [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) [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) [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) [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) [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) [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) [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) [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版本发布 [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) [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) [特性速览 | Apache Hudi 0.5.3版本正式发布](https://mp.weixin.qq.com/s/JzDgbbUlrfeQlvtrSJnnVg) [Apache Hudi 0.6.0版本重磅发布](https://mp.weixin.qq.com/s/S0qWaxRtJw9v6ikBVyfylw) ## Apache Hudi实战 [Apache Flink 1.12.2集成Hudi 0.9.0运行指南](https://mp.weixin.qq.com/s/TKFZYwPbGSKSo29EDeaPIw) [重磅!解锁Apache Flink读写Apache Hudi新姿势](https://mp.weixin.qq.com/s/cG4KQdcjd98s8h0Ini7CWw) [集成才是硬道理! 用它构建一个完整的Hadoop](https://mp.weixin.qq.com/s/Wjk6XnjyaPQrrWWPf0UlUQ) [实战 | Apache Hudi回调功能简介及使用示例](https://mp.weixin.qq.com/s/M-ptQ3olf14IxaAPu9t5ww) [Apache Hudi + Flink作业运行指南](https://mp.weixin.qq.com/s/d1GI1AYHUpKwz_VHd41CeA) [Apache Hudi异步Compaction的不同部署模型全面汇总](https://mp.weixin.qq.com/s/OEM61L3FhdLAeTghtGAeUA) [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) [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) [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) [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) [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) [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) [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) [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) [Delta Lake 和 Apache Hudi 两种数据湖产品全方面对比](https://mp.weixin.qq.com/s/Z8YLr5jmkm7u5WgHQZk1MQ) [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) [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) [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) [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) [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) [填坑 | 线上Presto查询Hudi表异常排查](https://mp.weixin.qq.com/s/ik_AKz82G8jPbVq9Q02umg) [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 [Lakehouse元数据管理技术深度解析](https://mp.weixin.qq.com/s/8GknnV6AYH5Mk83rCII7TQ) [大数据技术变革正当时,Apache Hudi了解下?](https://mp.weixin.qq.com/s/JCrnpACBbhSrrscqgto5HA) [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) [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) [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 [Apache Hudi与Apache Flink更好地集成,最新方案了解下?](https://mp.weixin.qq.com/s/91tQFCW3hi7YJR3qIi3ARg) [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) [CDH 6.3.0安装Apache Hudi指南](https://mp.weixin.qq.com/s/Uh8p8wAjUPSja1mxgpYbsQ) [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) [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) [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) [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) [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) [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) [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) [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) [生态 | Apache Hudi插上Alluxio的翅膀](https://mp.weixin.qq.com/s/C_hIhyD7swCcrglR5aiQkQ) [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 [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) [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) [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) [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) [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) [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) [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) [Apache Hudi Savepoint实现分析](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484461&idx=1&sn=a52208ede2f805369734c4339892cd1f&chksm=e81f515bdf68d84d5c4f4a0ca158aa0295a9916e97b4fe1d36c1d8aacf131716e22f1156c55e&token=1688466117&lang=zh_CN#rd) [Apache Hudi Rollback实现分析](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484498&idx=1&sn=9d2fa358354de87a45fed552927c1fa6&chksm=e81f5124df68d8320e5d069c6acdc2fde76bd059c84baa55749e7168ad82bb00235814934224&token=1688466117&lang=zh_CN#rd) [Hudi Timeline(时间轴)分析](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484187&idx=1&sn=54d6d988e77528e3381d76c6f9d629ea&chksm=e81f566ddf68df7b616276d29ec47382a297888590d521a7e283016b285c71c726f65e389dc2&token=1688466117&lang=zh_CN#rd) [Hudi MergeOnRead存储类型时Upsert分析](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484233&idx=1&sn=aad81de05436b7f9e1b34b363964160a&chksm=e81f563fdf68df297c242f961bec8c7dc647f3972aef03e005c2cdb6081feb83f3f9ff879d99&token=1688466117&lang=zh_CN#rd) [Hudi 压缩(Compaction)实现分析](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484238&idx=1&sn=f7d60a0361daefb6a55c44e4ad163eba&chksm=e81f5638df68df2ea1d64677553963291ffabc48d0747325e48885b71e1e412dcb64ee714183&token=1688466117&lang=zh_CN#rd) [揭秘ApacheHudi数据湖的文件管理](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484306&idx=1&sn=1d853469159a600d82050c17e6a2a075&chksm=e81f56e4df68dff2da417109c4a971aef54f056bc0519558c58e23fe60b90dc6e4f8d7e92774&token=1688466117&lang=zh_CN#rd) [Spark读取变更Hudi数据集Schema实现分析](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484513&idx=1&sn=8914cdda4cd49e6cdbb139b3f31c6a6f&chksm=e81f5117df68d80137b57a9aabddd195f76dccc3845bbef35188e362be28cbdcfa277ee6e98c&token=1688466117&lang=zh_CN#rd) [Apache Hudi索引实现分析(一)之HoodieBloomIndex](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484567&idx=1&sn=f47964aa32915f54b30da75e75d4120d&chksm=e81f51e1df68d8f7d45773e219ea3d38815f3ff6123cc412576eaad00cfdadc23e35479ee414&token=1688466117&lang=zh_CN#rd) [Apache Hudi索引实现分析(二)之HoodieGlobalBloomIndex](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484576&idx=1&sn=10ca56b1d8c22cd61e832377327c2680&chksm=e81f51d6df68d8c0cf5d9abf7d96b43dd6e1a11aa5ff3126d065ba51c37f53a1176de7c4c97e&token=1688466117&lang=zh_CN#rd) [Apache Hudi索引实现分析(三)之HBaseIndex](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484592&idx=1&sn=fecec276c9477a8f365f54649fe26a69&chksm=e81f51c6df68d8d0d8109a93181e8a6bf89b6492691bdd1a56800695a4a729a1480c98a6f0cb&token=1688466117&lang=zh_CN#rd) [Apache Hudi索引实现分析(四)之基于Tree的IndexFileFilter](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484597&idx=1&sn=35e073fcec36b4616ce05d67c63ce934&chksm=e81f51c3df68d8d546e7109afc5ccc81072aae5604d568513e22de5db2df17ea4c181c64039c&token=1688466117&lang=zh_CN#rd) [Apache Hudi索引实现分析(五)之基于List的IndexFileFilter](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484736&idx=1&sn=123efc79e714f988c63318cae696941d&chksm=e81f5036df68d9207a299ad65a0458ea36b7203a6471a7071fe13b3c4d8053ec821058b16789&token=1688466117&lang=zh_CN#rd) [详解ApacheHudi如何节约宝贵的存储空间](https://mp.weixin.qq.com/s?__biz=MzIyMzQ0NjA0MQ==&mid=2247484301&idx=1&sn=79cdd0894a9a3af797fdfba7f7656b45&chksm=e81f56fbdf68dfed66c71afcf2dd7026848ce99b24460278387cf4187d2f722ba570b9f26b11&token=1688466117&lang=zh_CN#rd)