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Building Resilient Streaming Systems on Google Cloud Platform, Google Cloud

4.7
1,247 calificaciones
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93 revisiones

Acerca de este Curso

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to build streaming data pipelines using Google Cloud Pub/Sub and Dataflow to enable real-time decision making. You will also learn how to build dashboards to render tailored output for various stakeholder audience. Prerequisites: • Google Cloud Platform Big Data and Machine Learning Fundamentals (or equivalent experience) • Some knowledge of Java Objectives: • Understand use-cases for real-time streaming analytics • Use Google Cloud PubSub asynchronous messaging service to manage data events • Write streaming pipelines and run transformations where necessary • Get familiar with both sides of a streaming pipeline: production and consumption • Interoperate Dataflow, BigQuery and Cloud Pub/Sub for real-time streaming and analysis SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Data Engineering on Google Cloud Platform’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!...

Principales revisiones

por PG

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Aug 25, 2018

This course was very helpful to understand how to built high throughput streaming work flows on google cloud. It described in detail how to model big table for efficient application.

por CC

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Aug 19, 2017

Course gives nice overview of Bigtable, when to use it compared to bigquery. flowchart describing the when to use which product is really helpful. Thanks Lak for the course.

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90 revisiones

por Victor Cortazar

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Apr 18, 2019

muy bueno

por Peeya Iwagoshi

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Apr 06, 2019

Great course to combined and test the knowledge from other modules.

por Jumpod Plekhongthu

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Apr 01, 2019

Very goods course

por Agha Abbas Ahsan

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Mar 31, 2019

Thorough and challenging.

por Mohammed Aamir Mohammed Farid Shaikh

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Mar 27, 2019

Thanks Lak and the team for detailed information. The way of teaching is best which will clears the doubts of the everyone.

por Morgan GAO

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Mar 24, 2019

I understand how bigtable works and how to design a good table. That is the biggest take for me!

por Kishore Kumar Pokuru

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Mar 22, 2019

exposure on bigtable and streaming process

por Vicente Gonçalves dos Santos

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Mar 19, 2019

Excelent way of learning Pub Sub.

por Nguyen Vu Trung Hieu

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Mar 18, 2019

Like other course by google, the labs part is try to flow some order so the leaner must try harder to learn by themself rather than learn in the course. BTW great source of information about how to do data engineering on GCP.

por Marcelo Henrique Gonçalves

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Mar 10, 2019

Too much of things we easily forget. Lack of exercises to fix in memory important steps.

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