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 Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud using QwikLabs.
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Google CloudAbout this Course
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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Intermediate Level
Approx. 8 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will 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
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Intermediate Level
Approx. 8 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Syllabus - What you will learn from this course
2 minutes to complete
Introduction
2 minutes to complete
1 video (Total 2 min)
10 minutes to complete
Introduction to Processing Streaming Data
10 minutes to complete
1 video (Total 6 min)
2 hours to complete
Serverless Messaging with Pub/Sub
2 hours to complete
7 videos (Total 27 min)
1 hour to complete
Dataflow Streaming Features
1 hour to complete
4 videos (Total 11 min)
3 hours to complete
High-Throughput BigQuery and Bigtable Streaming Features
3 hours to complete
6 videos (Total 27 min)
3 hours to complete
Advanced BigQuery Functionality and Performance
3 hours to complete
8 videos (Total 42 min)
1 minute to complete
Summary
1 minute to complete
1 video (Total 1 min)
Reviews
- 5 stars67.33%
- 4 stars25.64%
- 3 stars5.43%
- 2 stars1.33%
- 1 star0.25%
TOP REVIEWS FROM BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
by GTMay 30, 2020
Clair et complet
C'est parce qu'il y a ce genre de contenu que je progresse beaucoup plus vite sur GCP que sur les autres plateformes.
by MAJun 12, 2021
The most compacted and impacted course in data engineering with abundance of resources. A lot to learn from this course.
by AJOct 30, 2020
Another excellent course. Many opportunities to use Cloud Dataflow and effective ways of using Google's big data warehouse, BigQuery.
by HMMay 8, 2020
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
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