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. Data Storage and User Identity → https://bit.ly/2TXooT0 Watch more: Next '19 Data Analytics Sessions here → https://bit.ly/Next19DataAnalytics Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions Subscribe to the G Suite Channel → https://bit.ly/G-Suite1 Speaker(s): Sergei Sokolenko, Kir Titievsky, Thomas Weise Session ID: DA311 product:BigQuery; fullname:Seth Hollyman,Tino Tereshko;
http://bit.ly/2KFMT7Y support@endlesssupplies.ca (Endless Supplies .Ca) April 12, 2019 at 12:37PM
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