Who is this class for: 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 Platform. The typical audience member has experience analyzing and visualizing big data, implementing cloud-based big data solutions, and transforming/processing datasets.

Created by:  Google Cloud

Basic Info
Commitment1 week of study, 6-8 hours/week
Hardware ReqYou'll need a Google Cloud Platform Free Trial account. Sign up at: https://cloud.google.com/free/
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said

How It Works

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Ratings and Reviews
Rated 4.7 out of 5 of 123 ratings

The course breaks down the steps of building streaming data pipelines with very clear examples. I had to do some editing in some part of the code because the PubSub Libraries have been updated and the backward compatibility broken from the code used in the course.

Overall, thank you Lak!

Good course and labs. I wish the code sample didn't keep switching between Python and Java, it can be confusing.

Great course, and an excellent topic in the Big Data Engineering on GCP. Would recommend this to anyone interested in this area.

Content was pretty good but some of the labs definitely require improvements. Hopefully they will implement a similar system to what they have under the Cloud Architecture set of courses and integrate Qwiklabs.