Real-Time Stream Analytics with Google Cloud Dataflow: Common Use Cases & Patterns (Next Rewind '18)

Опубликовано 20 ноября 2018, 19:33

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.

Original talk by Ryan McDowell
Rewind by Mark Mirchandani

Watch full session here → bit.ly/2DsQSPX
Watch more recaps here → bit.ly/NextRewind2018

Watch more Data Analytics sessions here → bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → bit.ly/Allsessions

Subscribe to the Google Cloud Platform channel! → bit.ly/GCloudPlatform event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - Data Analytics - Dataflow; fullname: Ryan McDowell;