Course Details:
Building Resilient Streaming Analytics Systems on Google Cloud

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.

Skills Gained

• 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

Who Can Benefit

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 Outline

Introduction

• This module introduces the course and agenda

Introduction to Processing Streaming Data

• This modules talks about challenges with processing streaming data

Serverless Messaging with Pub/Sub

• This module talks about using Pub/Sub to ingest incoming streaming data

Dataflow Streaming Features

• This module revisits Dataflow and focuses on its streaming data processing capabilities

High-Throughput BigQuery and Bigtable Streaming Features

• This modules covers BigQuery and Bigtable for streaming data

Advanced BigQuery Functionality and Performance

• This module dives into more advanced features of BigQuery

Course Summary

• This module recaps the topics covered in course

Course Resources

• PDF links to all modules