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.



Building Resilient Streaming Analytics Systems on Google Cloud
This course is part of multiple programs.

Instructor: Google Cloud Training
Access provided by Scotiabank Chile - MundoScotia
38,153 already enrolled
(1,263 reviews)
What you'll learn
Ingest and manage streaming data using Pub/Sub and Managed Service for Apache Kafka
Build and deploy streaming data pipelines with Dataflow
Implement streaming data solutions for real-time analytics and application serving with BigQuery and Bigtable
Skills you'll gain
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There are 4 modules in this course
This module introduces the fundamentals of building streaming data pipelines on Google Cloud, providing a foundation for the entire course. It begins by outlining the course's overall learning objectives and introducing a practical, hands-on scenario that will be used throughout the content and labs to make the concepts tangible.
What's included
1 plugin
This module provides an introduction to streaming data use cases and architectures. You will learn about the applications and common architectural patterns for real-time data processing across four key scenarios: Streaming ETL, Streaming AI/ML, Streaming Application, and Reverse ETL.
What's included
1 plugin
This module provides a comprehensive overview of building streaming data pipelines on Google Cloud, covering the core services for messaging, processing, and analysis. It's designed to give you a hands-on understanding of how these components work together in a cohesive, real-time architecture.
What's included
4 assignments4 app items5 plugins
This module provides a comprehensive wrap-up of the course, summarizing the key concepts you've learned for building resilient and robust streaming data pipelines on Google Cloud.
What's included
1 plugin
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Reviewed on May 8, 2020
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
Reviewed on Mar 22, 2020
Overall content and coverage was good, but would suggest to have some detailed sessions around beam pipelines as well.
Reviewed on Mar 14, 2021
This course has the most important technique for building streaming data and building efficient big queries.
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