https://github.com/meijies/deepin-stream-processing
deepin stream processing
https://github.com/meijies/deepin-stream-processing
distributed-stream-processing stream stream-processing
Last synced: 4 months ago
JSON representation
deepin stream processing
- Host: GitHub
- URL: https://github.com/meijies/deepin-stream-processing
- Owner: meijies
- License: apache-2.0
- Created: 2019-04-02T14:51:05.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-04-27T15:13:04.000Z (about 7 years ago)
- Last Synced: 2025-10-25T02:44:15.166Z (8 months ago)
- Topics: distributed-stream-processing, stream, stream-processing
- Homepage: https://github.com/meijies/deepin-stream-processing
- Size: 1.74 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Deepin Stream Processing
Stream processing related articles, papers, books list
## Articles
+ [What is stream Processing](https://wso2.com/library/articles/2018/05/what-is-stream-processing/) | [中文翻译](what-is-stream.md)
+ [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)
+ [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)
+ [流处理模式匹配](http://support.huawei.com/huaweiconnect/enterprise/huawei/m/ViewThread.html?tid=327735)
+ [基于事件流构建的服务](https://github.com/jasonGeng88/blog/blob/master/201706/event.md)
+ [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/)
+ [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/)
+ [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/)
+ [实时流处理系统容错机制（-）综述](https://blog.csdn.net/qq_21125183/article/details/80829483)
+ [实时流处理系统反压机制综述](https://blog.csdn.net/qq_21125183/article/details/80708142)
+ [Breaking News Everything is an Event](https://blog.florimondmanca.com/breaking-news-everything-is-an-event)
+ [Serializable ACID Transactions on Streaming Data](https://www.ververica.com/blog/serializable-acid-transactions-on-streaming-data?hn)
+ [Stream Processing and Probabilistic Methods](https://bravenewgeek.com/stream-processing-and-probabilistic-methods/)
+ [Building a Stream Processing Analytics Data Stack](https://medium.com/@henridf/building-a-streaming-analytics-data-stack-ea0641048661)
+ [Streaming Petabytes of Data in Realtime with Kinesis](http://tech.adroll.com/blog/data/2015/06/26/kinesis.html)
+ [Top 7 Tends in Streaming Data for 2019](https://www.upsolver.com/blog/top-7-trends-in-streaming-data-for-2019)
+ [Calculating a Moving Average on Streaming Data](https://dev.to/nestedsoftware/calculating-a-moving-average-on-streaming-data-5a7k)
+ [Streaming Data Architecture Key Components](https://www.upsolver.com/blog/streaming-data-architecture-key-components#utm_source=hackernews&utm_medium=referral)
+ [Vonverged Data Platform Unifying Streaming Data Using Mapr](https://softwareengineeringdaily.com/2018/11/09/converged-data-platform-unifying-streaming-data-using-mapr/)
+ [Introducing Liftbridge Lightweight Fault Tolerant Message Streams](https://bravenewgeek.com/introducing-liftbridge-lightweight-fault-tolerant-message-streams/)
+ [Big Data Management and Apache Flink](http://helper.ipam.ucla.edu/publications/dmc2017/dmc2017_14072.pdf)[PPT]
+ [Apache Flink : Fast and Reliable Large-Scale Data Processing](http://events17.linuxfoundation.org/sites/events/files/slides/flink-apachecon2.pdf)[PPT]
+ [Deep Analysis with Apache Flink](https://acmsocc.github.io/2018/slides/socc18-slides-kunft.pdf)
+ [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)
## Paper
+ [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)
+ [可扩展的分布式流处理](http://nms.csail.mit.edu/papers/CIDR_CRC.pdf)
+ [Apache Storm论文](https://cs.brown.edu/courses/cs227/archives/2015/papers/ss-storm.pdf)
+ [Apache Flink论文](http://asterios.katsifodimos.com/assets/publications/flink-deb.pdf)
+ [实时应用的八个需求](http://cs.brown.edu/~ugur/8rulesSigRec.pdf)
+ [分布式流处理基准测试-2018](https://arxiv.org/pdf/1802.08496.pdf)
## 书籍
+ [流应用的快数据架构](https://learning.oreilly.com/library/view/fast-data-architectures/9781492038771/)
+ [数据数据密集型应用-流处理章节](https://vonng.gitbooks.io/ddia-cn/content/ch11.html)
+ [理解流处理](https://learning.oreilly.com/library/view/making-sense-of/9781492042563/)[计划翻译]
+ [用Apache Flink进行流处理](https://www.oreilly.com/library/view/stream-processing-with/9781491974285/)
## 网站
+ [Flink on Pocket](https://getpocket.com/explore/flink)
+ [Flink官方网站](https://flink.apache.org/)
+ [Flink Forward网站](https://www.flink-forward.org/)
+ [SlideShare Flink Forward Presentations](https://www.slideshare.net/FlinkForward/presentations)
## TODO
+ [ ] [理解流处理](making-sence-of-stream-processing/README.md)
## 深入流处理
+ [ ] [流处理简史]()
+ [ ] [窗口]()
+ [ ] [有向无环图]()
+ [ ] [容错机制]()
+ [ ] [背压]()
+ [ ] [流处理统计方法]()
+ [ ] [常见流处理模式]()
+ [ ] [常见流处理用例]()