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 Google Cloud Skills Boost.
Building Resilient Streaming Analytics Systems on Google Cloud
Building Resilient Streaming Analytics Systems on Google Cloud
This course is part of multiple programs.
Instructor: Google Cloud Training
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4.6
(1,250 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 7 hours
Learn at your own pace
70%
Most learners liked this course
What you'll learn
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
Details to know
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Assessments
6 assignments
Taught in English
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There are 7 modules in this course
This module introduces the course and agenda
What's included
1 video
This modules talks about challenges with processing streaming data
What's included
1 video1 assignment
This module talks about using Pub/Sub to ingest incoming streaming data
What's included
7 videos1 assignment1 app item
This module revisits Dataflow and focuses on its streaming data processing capabilities
What's included
4 videos1 assignment1 app item
This modules covers BigQuery and Bigtable for streaming data
What's included
6 videos2 assignments2 app items
This module dives into more advanced features of BigQuery
What's included
7 videos1 assignment1 app item
This module recaps the topics covered in course
What's included
1 video
Instructor
Instructor ratings
4.6 (150 ratings)Offered by
Recommended if you're interested in Cloud Computing
Google Cloud
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Learner reviews
4.6
1,250 reviews
- 5 stars
68.10%
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Showing 3 of 1250
MA
5
Reviewed on Jun 12, 2021
The most compacted and impacted course in data engineering with abundance of resources. A lot to learn from this course.
NC
5
Reviewed on Mar 14, 2021
This course has the most important technique for building streaming data and building efficient big queries.
AA
5
Reviewed on Mar 19, 2020
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
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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.