About this Course

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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 13 hours to complete

Suggested: 24 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 13 hours to complete

Suggested: 24 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

6 minutes to complete

Introduction

6 minutes to complete
2 videos (Total 6 min)
2 videos
Getting Started with Google Cloud Platform and Qwiklabs4m
1 hour to complete

Introduction to Processing Streaming Data

1 hour to complete
1 video (Total 7 min)
1 practice exercise
Introduction to Processing Streaming Data30m
2 hours to complete

Serverless Messaging with Cloud Pub/Sub

2 hours to complete
6 videos (Total 31 min)
6 videos
Cloud Pub/Sub Push vs Pull5m
Publishing with Pub/Sub code4m
Summary1m
Lab Intro: Publish Streaming Data into Pub/Sub18s
Lab Solution: Publish Streaming Data into Pub/Sub10m
1 practice exercise
Serverless Messaging with Cloud Pub/Sub30m
2 hours to complete

Cloud Dataflow Streaming Features

2 hours to complete
4 videos (Total 41 min)
4 videos
Cloud Dataflow Windowing10m
Lab Intro: Streaming Data Pipelines21s
Lab Solution: Streaming Data Pipelines25m
1 practice exercise
Cloud Dataflow Streaming Features30m
Week
2

Week 2

4 hours to complete

High-Throughput BigQuery and Bigtable Streaming Features

4 hours to complete
7 videos (Total 57 min)
7 videos
Lab Intro: Streaming Analytics and Dashboards9s
Lab Solution: Streaming Analytics and Dashboards14m
High-Throughput Streaming with Cloud Bigtable16m
Optimizing Cloud Bigtable Performance6m
Lab Intro: Streaming Data Pipelines into Bigtable16s
Lab Solution: Streaming Data Pipelines into Bigtable12m
2 practice exercises
Streaming Analytics and Dashboards4m
High-Throughput Streaming with Cloud Bigtable30m
3 hours to complete

Advanced BigQuery Functionality and Performance

3 hours to complete
7 videos (Total 48 min)
7 videos
Demo: GIS Functions and Mapping with BigQuery16m
WITH Clauses vs Permanent Tables2m
Analytical window functions14m
Lab Intro: Optimizing your BigQuery Queries for Performance22s
Performance Considerations2m
Lab Intro: Creating Date-Partitioned Tables in BigQuery14s
1 practice exercise
BigQuery advanced functionality and performance considerations30m
1 minute to complete

Summary

1 minute to complete
1 video (Total 1 min)
1 video

Reviews

TOP REVIEWS FROM BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GCP
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About Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

Frequently Asked Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

More questions? Visit the Learner Help Center.