Real-Time Stream Analytics with Google Cloud Dataflow: Common Use Cases & Patterns (Cloud Next '18)
47 147
30.3
Google Cloud Platform1.17 млн
Следующее
Опубликовано 26 июля 2018, 21:20
Google Cloud Dataflow makes it easy to process and analyze real-time streaming data so that you can derive insights and react to new information in real-time. Learn how it is used in conjunction with other technologies, like PubSub, Kafka, BigQuery, Bigtable, or Datastore, to build end-to-end streaming architectures. Learn how these architectures enable diverse use cases such as real-time ingestion and ETL, real-time reporting & analytics, real-time alerting, or fraud detection.
DA219
Event schedule → g.co/next18
Watch more Data Analytics sessions here → bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → bit.ly/Allsessions
Subscribe to the Google Cloud channel! → bit.ly/NextSub
event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - Data Analytics - Dataflow; fullname: Ryan McDowell;
DA219
Event schedule → g.co/next18
Watch more Data Analytics sessions here → bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → bit.ly/Allsessions
Subscribe to the Google Cloud channel! → bit.ly/NextSub
event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - Data Analytics - Dataflow; fullname: Ryan McDowell;
Свежие видео
Случайные видео