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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
Overview
Syllabus
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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
