Advancing Serverless Data Processing in Cloud Dataflow (Cloud Next '18)
Our Cloud Dataflow was the first product to pioneer serverless computing for batch and streaming big data workloads. How can we further reduce operational overhead that gets in the way of focusing on the application logic? Learn how Google has advanced serverless data processing by further separating compute from state storage. See how to improve batch processing times, scale with Dataflow Shuffle, and stream with the Dataflow Streaming engine.
DA301
Event schedule → http://g.co/next18
Watch more Data Analytics sessions here → http://bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → http://bit.ly/Allsessions
Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
re_ty: Publish; product: Cloud - Data Analytics - Dataflow; fullname: Sergei Sokolenko; event: Google Cloud Next 2018;
Видео Advancing Serverless Data Processing in Cloud Dataflow (Cloud Next '18) канала Google Cloud Tech
DA301
Event schedule → http://g.co/next18
Watch more Data Analytics sessions here → http://bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → http://bit.ly/Allsessions
Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
re_ty: Publish; product: Cloud - Data Analytics - Dataflow; fullname: Sergei Sokolenko; event: Google Cloud Next 2018;
Видео Advancing Serverless Data Processing in Cloud Dataflow (Cloud Next '18) канала Google Cloud Tech
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