Advances in Stream Analytics (Cloud Next '19)

Опубликовано 12 апреля 2019, 17:09

Apache Beam, Cloud Dataflow and Cloud Pub/Sub are making stream processing even more powerful and easy to use. From multi-language support, to a new simplified editor for pipeline creation, to offloading stream processing to hyper-scalable and efficient stream processing infrastructure, to a new, unified way of monitoring and understanding what is going on with events in your stream - the future of streaming is here today. With an example from Lyft on how Apache Beam delivers Python support and portability with Apache Flink, come learn how you can make your data ingestion and processing more real-time.

Stream Anatlytics Advances → bit.ly/2UdvdVk

Watch more:
Next '19 Data Analytics Sessions here → bit.ly/Next19DataAnalytics
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions

Subscribe to the G Suite Channel → bit.ly/G-Suite1

Speaker(s): Sergei Sokolenko, Kir Titievsky, Thomas Weise

Session ID: DA311


event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - Data Analytics - PubSub, Cloud - Data Analytics - Dataflow; fullname: Sergei Sokolenko, Kir Titievsky, Thomas Weise;