The State of Flink and how to adopt Stream Processing - Stephan Ewen
Flink Forward Berlin, September 2017 #flinkforward
Stephan Ewen, CTO at data Artisans
Data stream processing has redefined how many of us build data pipelines. Apache Flink is one of the systems at the forefront of that development: With its versatile APIs (event-time streaming, Stream SQL, events/state) and powerful execution model, Flink has been part of re-defining what stream processing can do. By now, Apache Flink powers some of the largest data stream processing pipelines in open source data stream processing. In this keynote, we will look at the evolution of Stream Processing and Apache Flink during the last year, and what we believe will be the next wave of stream processing applications. We show how the Flink community and users evolved, what use cases are coming up, and how new and upcoming features in Flink are making new types of applications possible. We will also discuss common challenges that companies are facing when adopting stream processing, and how we can help companies to rapidly adopt and roll out stream processing company-wide.
https://data-artisans.com/
Видео The State of Flink and how to adopt Stream Processing - Stephan Ewen канала Flink Forward
Stephan Ewen, CTO at data Artisans
Data stream processing has redefined how many of us build data pipelines. Apache Flink is one of the systems at the forefront of that development: With its versatile APIs (event-time streaming, Stream SQL, events/state) and powerful execution model, Flink has been part of re-defining what stream processing can do. By now, Apache Flink powers some of the largest data stream processing pipelines in open source data stream processing. In this keynote, we will look at the evolution of Stream Processing and Apache Flink during the last year, and what we believe will be the next wave of stream processing applications. We show how the Flink community and users evolved, what use cases are coming up, and how new and upcoming features in Flink are making new types of applications possible. We will also discuss common challenges that companies are facing when adopting stream processing, and how we can help companies to rapidly adopt and roll out stream processing company-wide.
https://data-artisans.com/
Видео The State of Flink and how to adopt Stream Processing - Stephan Ewen канала Flink Forward
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Stateful Functions: Flexible like a Microservice, Consistent like a Monolith](https://i.ytimg.com/vi/zxAuc5T9Bjc/default.jpg)
![Keeping Redditors safe in real-time with Flink Stateful Functions](https://i.ytimg.com/vi/lWCt4t1Dhvc/default.jpg)
![Backfill Flink Data Pipelines with Iceberg Connector](https://i.ytimg.com/vi/tB4rx_W9Xqw/default.jpg)
![Flink's Table & DataStream API: A Perfect Symbiosis](https://i.ytimg.com/vi/vLLn5PxF2Lw/default.jpg)
![Storing State Forever: Why It Can Be Good For Your Analytics](https://i.ytimg.com/vi/tiGxEGPyqCg/default.jpg)
![SPONSORED Interactive Session: AMA | Pulsar and Flink for Unified Data Processing](https://i.ytimg.com/vi/sl1d7vZYe1E/default.jpg)
![SPONSORED Interactive Session: Optimising data streaming pipelines on Flink and Kafka](https://i.ytimg.com/vi/TVZ8ByaSq2o/default.jpg)
![Building payment processing engine with Stateful Functions and Spring Boot](https://i.ytimg.com/vi/zHH56yAmWLQ/default.jpg)
![Data Pipeline Lifecycle: SQL Everywhere](https://i.ytimg.com/vi/vZFpPMwQ1po/default.jpg)
![Batching Was Yesterday: Real-Time Tracking & Analysis For 100+ Million Visitors](https://i.ytimg.com/vi/uE_SefMwt3M/default.jpg)
![Introduction to Flink in 30 minutes](https://i.ytimg.com/vi/RCP9-HdId9w/default.jpg)
![KEYNOTE: Apache Flink in the Cloud-native Era](https://i.ytimg.com/vi/uLr0XTwbIlc/default.jpg)
![SPONSORED Session: From concept to production; the fastest way to develop & deploy Apache Flink jobs](https://i.ytimg.com/vi/r4ucpo7zyPU/default.jpg)
![SPONSORED Interactive Session: Flink on Autopilot with Splunk](https://i.ytimg.com/vi/5aMH-bROi0g/default.jpg)
![Demystifying Deployments: Applications or Clusters, Active and Reactive Scaling - What is it about?](https://i.ytimg.com/vi/xm1X9etMXps/default.jpg)
![KEYNOTE | Expert Panel: Current & Future State of the Art in Real-Time Data Infrastructure](https://i.ytimg.com/vi/KOmRPmeH16Q/default.jpg)
![SPONSORED Interactive Session: Beam and Beam on Flink general roadmap discussion and AMA](https://i.ytimg.com/vi/5ERUOEwzhJ0/default.jpg)
![تعلم لغة البرمجة بايثون للمبتدئين - الحلقة ١: لماذا يجب ان اتعلم بايثون الآن](https://i.ytimg.com/vi/tO3ctcvjGvQ/default.jpg)
![SPONSORED Interactive Session: Running Flink SQL jobs in production](https://i.ytimg.com/vi/nExFhU9W5Sw/default.jpg)
![IT_One Meet Up: Java and Big Data. Вадим Опольский - Apache Flink vs Свой Java Код.](https://i.ytimg.com/vi/5F8lwbryyvc/default.jpg)