Building Resilient Streaming Analytics Systems on Google Cloud

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Course 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. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.

Who Should Attend

This class is intended for data analysts, data scientists and programmers who want to build for out-of-the-ordinary scenarios such as high availability, resiliency, high-throughput, real-time streaming analytics on leveraging Google Cloud.

Course Objectives

    • Interpret use-cases for real-time streaming analytics.
    • Manage data events using the Pub/Sub asynchronous messaging service.
    • Write streaming pipelines and run transformations where necessary.
    • Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis

Course Outline

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

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Class Dates & Times

Class times are listed Central time

This is a 1-day class

Class dates not listed.
Please contact us for available dates and times.