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Processing](https://wso2.com/library/articles/2018/05/what-is-stream-processing/) | [中文翻译](what-is-stream.md)\n+ [Stream Processing Myths Debunked](https://dataconomy.com/2017/02/stream-processing-myths-debunked/) | [中文翻译](https://www.infoq.cn/article/2016/12/error-stream-proce-eliminate)\n+ [13 Stream Processing Patterns For Building Streaming And Realtime Application](https://iwringer.wordpress.com/2015/08/03/patterns-for-streaming-realtime-analytics/) | [中文翻译](13-stream-processing-patterns-for-building-streaming-and-realtime-application.md)\n+ [流处理模式匹配](http://support.huawei.com/huaweiconnect/enterprise/huawei/m/ViewThread.html?tid=327735)\n+ [基于事件流构建的服务](https://github.com/jasonGeng88/blog/blob/master/201706/event.md)\n+ [Stream Processing 101 From Sql to Streaming Sql in Ten Minutes](https://wso2.com/library/articles/2018/02/stream-processing-101-from-sql-to-streaming-sql-in-ten-minutes/)\n+ [The World Beyond Batch Streaming 101](https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-101) | [中文翻译](https://www.zhouyongyi.com/the-world-beyond-batch-streaming-101/)\n+ [The World Beyond Batch Streaming 102](https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-102) | [中文翻译](https://www.zhouyongyi.com/the-world-beyond-batch-streaming-102/)\n+ [实时流处理系统容错机制（-）综述](https://blog.csdn.net/qq_21125183/article/details/80829483)\n+ [实时流处理系统反压机制综述](https://blog.csdn.net/qq_21125183/article/details/80708142)\n+ [Breaking News Everything is an Event](https://blog.florimondmanca.com/breaking-news-everything-is-an-event)\n+ [Serializable ACID Transactions on Streaming Data](https://www.ververica.com/blog/serializable-acid-transactions-on-streaming-data?hn)\n+ [Stream Processing and Probabilistic Methods](https://bravenewgeek.com/stream-processing-and-probabilistic-methods/)\n+ [Building a Stream Processing Analytics Data Stack](https://medium.com/@henridf/building-a-streaming-analytics-data-stack-ea0641048661)\n+ [Streaming Petabytes of Data in Realtime with Kinesis](http://tech.adroll.com/blog/data/2015/06/26/kinesis.html)\n+ [Top 7 Tends in Streaming Data for 2019](https://www.upsolver.com/blog/top-7-trends-in-streaming-data-for-2019)\n+ [Calculating a Moving Average on Streaming Data](https://dev.to/nestedsoftware/calculating-a-moving-average-on-streaming-data-5a7k)\n+ [Streaming Data Architecture Key Components](https://www.upsolver.com/blog/streaming-data-architecture-key-components#utm_source=hackernews\u0026utm_medium=referral)\n+ [Vonverged Data Platform Unifying Streaming Data Using Mapr](https://softwareengineeringdaily.com/2018/11/09/converged-data-platform-unifying-streaming-data-using-mapr/)\n+ [Introducing Liftbridge Lightweight Fault Tolerant Message Streams](https://bravenewgeek.com/introducing-liftbridge-lightweight-fault-tolerant-message-streams/)\n+ [Big Data Management and Apache Flink](http://helper.ipam.ucla.edu/publications/dmc2017/dmc2017_14072.pdf)[PPT]\n+ [Apache Flink : Fast and Reliable Large-Scale Data Processing](http://events17.linuxfoundation.org/sites/events/files/slides/flink-apachecon2.pdf)[PPT]\n+ [Deep Analysis with Apache Flink](https://acmsocc.github.io/2018/slides/socc18-slides-kunft.pdf)\n+ [Spark Streaming vs Flink vs Storm vs Kafka Streams vs Samza : choose your stream processing framework](https://medium.com/@chandanbaranwal/spark-streaming-vs-flink-vs-storm-vs-kafka-streams-vs-samza-choose-your-stream-processing-91ea3f04675b)\n\n## Paper\n+ [分布式流处理技术综述](http://idke.ruc.edu.cn/publications/special%20issues/Big%20Data%20Management/Distributed%20Stream%20Processing%20A%20Survey.pdf)\n+ [可扩展的分布式流处理](http://nms.csail.mit.edu/papers/CIDR_CRC.pdf)\n+ [Apache Storm论文](https://cs.brown.edu/courses/cs227/archives/2015/papers/ss-storm.pdf)\n+ [Apache Flink论文](http://asterios.katsifodimos.com/assets/publications/flink-deb.pdf)\n+ [实时应用的八个需求](http://cs.brown.edu/~ugur/8rulesSigRec.pdf)\n+ [分布式流处理基准测试-2018](https://arxiv.org/pdf/1802.08496.pdf)\n\n## 书籍\n+ [流应用的快数据架构](https://learning.oreilly.com/library/view/fast-data-architectures/9781492038771/)\n+ [数据数据密集型应用-流处理章节](https://vonng.gitbooks.io/ddia-cn/content/ch11.html)\n+ [理解流处理](https://learning.oreilly.com/library/view/making-sense-of/9781492042563/)[计划翻译]\n+ [用Apache Flink进行流处理](https://www.oreilly.com/library/view/stream-processing-with/9781491974285/)\n\n## 网站\n+ [Flink on Pocket](https://getpocket.com/explore/flink)\n+ [Flink官方网站](https://flink.apache.org/)\n+ [Flink Forward网站](https://www.flink-forward.org/)\n+ [SlideShare Flink Forward Presentations](https://www.slideshare.net/FlinkForward/presentations)\n\n## TODO\n+ [ ] [理解流处理](making-sence-of-stream-processing/README.md)\n\n## 深入流处理\n+ [ ] [流处理简史]()\n+ [ ] [窗口]()\n+ [ ] [有向无环图]()\n+ [ ] [容错机制]()\n+ [ ] [背压]()\n+ [ ] [流处理统计方法]()\n+ [ ] [常见流处理模式]()\n+ [ ] [常见流处理用例]()\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmeijies%2Fdeepin-stream-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmeijies%2Fdeepin-stream-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmeijies%2Fdeepin-stream-processing/lists"}