Moving back and forth between batch and stream processing (Google Cloud Next '17)

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Опубликовано 10 марта 2017, 2:28
Stream processing is now the default way to ingest and analyze data. In this video, Tyler Akidau and Loic Jaures describe the model that makes this possible, efficient and easy. They also show you that model in action, by presenting how Teads processes 30 billion streaming events per day.

Missed the conference? Watch all the talks here: goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: goo.gl/OcqI9k
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