├── Apache Flink-The Latest and Greatest@dataArtisans.pdf ├── AthenaX-Streaming Processing Platform @Uber.pdf ├── Blink's Improvements to Flink SQL &Table API @albaba.pdf ├── Building a Real-Time Anomaly-Detection System with Flink @ Mux.pdf ├── Comments on Streaming Deep Learning with Flink.pdf ├── Contributing to Apache Flink®.pdf ├── Dynamically Configured Stream Processing Using Flink & Kafka.pdf ├── EXPERIENCES WITH STREAMING & MICRO-BATCH FOR ONLINE LEARNING.pdf ├── Experiences in running Apache Flink® at large scale.pdf ├── Extending Flink's Streaming APIs.pdf ├── Flink, Queryable State, and High Frequency Time Series Data.pdf ├── Improvements for large state in Apache Flink.pdf ├── Introduction to Online Machine Learning Algorithms.pdf ├── Machine Learning on Flink.pdf ├── Make the cloud work for you@Google.pdf ├── Near Real-Time Analytics@Uber.pdf ├── No shard left behind.pdf ├── Portable stateful big data processing in Apache Beam.pdf ├── Queryable State.pdf ├── README.md ├── Redesigning Apache Flink's Distributed Architecture.pdf ├── Runtime Improvements in Blink for Large Scale Streaming at Alibaba.pdf ├── Storage Reimagined for a Streaming World.pdf ├── StreamING models.pptx ├── Table & SQL API- unified APIs for batch and stream processing.pdf ├── The Stream Processor as a Database.pdf ├── The convergence of real-time analytics and event-driven applications.pptx ├── Zero to Streaming.pdf └── resources ├── flinkforward201704.png └── iteblog_hadoop.jpg /Apache Flink-The Latest and Greatest@dataArtisans.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Apache Flink-The Latest and Greatest@dataArtisans.pdf -------------------------------------------------------------------------------- /AthenaX-Streaming Processing Platform @Uber.pdf: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /Comments on Streaming Deep Learning with Flink.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Comments on Streaming Deep Learning with Flink.pdf -------------------------------------------------------------------------------- /Contributing to Apache Flink®.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Contributing to Apache Flink®.pdf -------------------------------------------------------------------------------- /Dynamically Configured Stream Processing Using Flink & Kafka.pdf: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /Extending Flink's Streaming APIs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Extending Flink's Streaming APIs.pdf -------------------------------------------------------------------------------- /Flink, Queryable State, and High Frequency Time Series Data.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Flink, Queryable State, and High Frequency Time Series Data.pdf -------------------------------------------------------------------------------- /Improvements for large state in Apache Flink.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Improvements for large state in Apache Flink.pdf -------------------------------------------------------------------------------- /Introduction to Online Machine Learning Algorithms.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Introduction to Online Machine Learning Algorithms.pdf -------------------------------------------------------------------------------- /Machine Learning on Flink.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Machine Learning on Flink.pdf -------------------------------------------------------------------------------- /Make the cloud work for you@Google.pdf: 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Beam.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Portable stateful big data processing in Apache Beam.pdf -------------------------------------------------------------------------------- /Queryable State.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Queryable State.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Flink Forward 2017-04-10 & 11 2 | 3 | 本库存的是Flink Forward San Francisco 10-11 Apr 2017的所有可下载的PPT资料。 4 | 5 | ![Flink Forward 2017-04-10 & 11](resources/flinkforward201704.png) 6 | - 日程 => [官方日程](http://sf.flink-forward.org/kb_day/day1/) 7 | - 详情 => [推荐观看的PPT](https://www.iteblog.com/archives/2135.html) 8 | 9 | 关注 iteblog_hadoop 公众号 或 [过往记忆](https://www.iteblog.com) 及时获取大数据相关信息。 10 | 11 | ![Flink Forward 2017-04-10 & 11](resources/iteblog_hadoop.jpg) 12 | 13 | -------------------------------------------------------------------------------- /Redesigning Apache Flink's Distributed Architecture.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Redesigning Apache Flink's Distributed Architecture.pdf -------------------------------------------------------------------------------- /Runtime Improvements in Blink for Large Scale Streaming at Alibaba.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/Runtime Improvements in Blink for Large Scale Streaming at Alibaba.pdf 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API- unified APIs for batch and stream processing.pdf -------------------------------------------------------------------------------- /The Stream Processor as a Database.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/The Stream Processor as a Database.pdf -------------------------------------------------------------------------------- /The convergence of real-time analytics and event-driven applications.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wypb/FlinkForward201704/18995f779308dc00097550d89e689fa678363f9b/The convergence of real-time analytics and event-driven applications.pptx -------------------------------------------------------------------------------- /Zero to Streaming.pdf: -------------------------------------------------------------------------------- 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