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Pluralsight

Building Resilient Streaming Analytics Systems on GCP

via Pluralsight

Overview

Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud Platform using QwikLabs.

Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud Platform using QwikLabs.

Topics:
  • Introduction
  • Introduction to Processing Streaming Data
  • Serverless Messaging with Cloud Pub/Sub
  • Cloud Dataflow Streaming Features
  • High-Throughput BigQuery and Bigtable Streaming Features
  • Advanced BigQuery Functionality and Performance
  • Summary

Taught by

Google Cloud

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