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Building Resilient Streaming Analytics Systems on Google Cloud

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Overview

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In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.

Syllabus

  • Course introduction
    • What's in it for me?
  • Streaming use cases and reference architectures
    • The power of streaming data pipelines with Google Cloud products
  • Product deep dives
    • Understanding the products
    • Architectural considerations for Pub/Sub and Managed Service for Apache Kafka
    • Stream data with pipelines - Esports Use case
    • Quiz 1: Pub/Sub and Managed Service for Apache Kafka
    • Dataflow: The processing powerhouse
    • Use Apache Beam and Bigtable to Enrich esports DLC Data
    • Quiz 2: Dataflow
    • BigQuery: The analytical engine
    • Stream E-sports Data with Pub/Sub and BigQuery
    • Quiz 3: BigQuery
    • Bigtable: The solution for operational data
    • Monitor E-sports Chat with Streamlit
    • Quiz 4: Bigtable
  • Key takeaways
    • What did I walk away with?
  • Your Next Steps
    • Claim credential

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