Building Resilient Streaming Systems on Google Cloud Platform

Overview

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This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to build streaming data pipelines using Google Cloud Pub/Sub and Dataflow to enable real-time decision making. You will also learn how to build dashboards to render tailored output for various stakeholder audience.

Prerequisites:
• Google Cloud Platform Big Data and Machine Learning Fundamentals (or equivalent experience)
• Some knowledge of Java

Objectives:
• Understand use-cases for real-time streaming analytics
• Use Google Cloud PubSub asynchronous messaging service to manage data events
• Write streaming pipelines and run transformations where necessary
• Get familiar with both sides of a streaming pipeline: production and consumption
• Interoperate Dataflow, BigQuery and Cloud Pub/Sub for real-time streaming and analysis

Syllabus

Module 1: Architecture of Streaming Analytics Pipelines

Module 2: Ingesting Variable Volumes

Module 3: Implementing Streaming Pipelines

Module 4: Streaming analytics and dashboards

Module 5: Handling Throughput and Latency Requirements