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

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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: Google Cloud Next 2018; re_ty: Publish; product: Cloud - Data Analytics - Dataflow; fullname: Ryan McDowell;
  1. Google Cloud Tech
  2. type: Conference Talk (Full production);
  3. pr_pr: Google Cloud Next
  4. purpose: Educate
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I didn't understand how do you change the schema dynamically, do you change the code and redeploy you are add the new function with using some command line tool or ?

adelinghanayem