这次整理的PPT来自于2017年09月11日至13日在 Berlin 进行的 Flink forward 会议,这种性质的会议和大家熟知的 Spark summit 类似。本次会议的官方日程参见:https://berlin-2017.flink-forward.org/kb_day/day-1/。因为原始的PPT是在 http://www.slideshare.net/ 网站,这个网站需要翻墙;为了学习交流的方便,这里收集了本次会议所有课下载的PPT(共45个),希望对大家有所帮助。 本次会议讨论包括机器学习、Flink的应用、Flink技术研究以及 Flink 生态等相关的话题。
所有列表
StreamApprox: Approximate computing for stream analytics in Apache Flink Talk Python to me: Stream Processing in Your Favourite Language with Beam on Flink Connecting Apache Flink and the Pravega Stream Store Stephan Ewen - The State of Flink and how to adopt Stream Processing Robert Metzger - Keep it going - How to reliably and efficiently operate Apache Flink Efficiently executing R Dataframes on Flink creating Flink Jobs with GUI Taking away customer friction through streaming analytics From Streams to Tables and Back Again: A Demo of Flink's Table & SQL API Huawei Cloud Stream Service in Practice Integrating Flink and Kafka in the standard genomics pipeline A look at Flink's internal data structures and algorithms for efficient checkpointing Looking for patterns with Flink CEP library A time series streaming oriented database optimized for the serving layer Flink in Containerland Large Scale User Behavior Analytics by Flink Fast Data at ING - buidling a streaming data platform with Flink and Kafka Build a Real-time Stream Processing Pipeline with Apache Flink on AWS Building End-to-End Exactly-Once Applications with Flink Parameter Server on Flink, an approach for model-serving parallel machine learning Using Queryable State to update ML algorithms per datapoint for online gaming Migration of a realtime stats product from Storm to Flink Extending Apache Flink stream processing with Apache Samoa machine learning methods Moving Beyond Moving Bytes Building a network stack for optimal throughput / low-latency trade-offs The Approximate Filter, Join, and GroupBy Flink-Kudu connector: an open source contribution to develop Kappa architectures A Materialization Engine for Data Integration with Flink Deploying Flink Jobs as Docker Containers Drivetribe's Kappa Architecture with Apache Flink Flink-JPMML: An open source Flink library for streaming machine learning model serving Cypher-based Graph Pattern Matching in Apache Flink Complex Event Processing with Flink: The state of FlinkCEP Interactive real-time visualization for streaming with Apache Flink and Apache Zeppelin Predictive Maintenance with Apache Flink Apache Flink meets Apache Mesos and DC/OS Introducing Flink ML Do I know you? Real time facial recognition with an Apache Stack From Apache Flink 1.3 to 1.4 Building and operating large-scale streaming applications at King Managing State in Apache Flink data Artisans Product Announcement Using Stream and Batch Processing with Apache Flink's Relational APIs Custom, Complex Windows at Scale Using Apache Flink Python Streaming API
下载地址
Github: https://github.com/397090770/FlinkForward201709
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本文链接: 【Flink Forward 201709所有PPT资料下载】(https://www.iteblog.com/archives/2264.html)