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Opiniones y comentarios de aprendices correspondientes a Building Resilient Streaming Systems on Google Cloud Platform por parte de Google Cloud

1,849 calificaciones
145 revisiones

Acerca del Curso

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 COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

Principales revisiones


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.


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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1 - 25 de 145 revisiones para Building Resilient Streaming Systems on Google Cloud Platform

por Javier R

Jan 16, 2019

Very useful.

por William M

Jan 31, 2019

I recommend this course to learn the fundamentals of Building Resilient Streaming Systems on Google Cloud Platform

por Raja R G

Dec 29, 2018

Very Good content...

por Preetish K D

Jan 09, 2019

All concept explained nicely.

por Mnason A P

Feb 16, 2019


por Christof G v R

Feb 16, 2019

Though the subject was the most obscure and least relevant to me of all 5 courses in the specialization, I think I learned the most during this one.

por Alejandro J A

Feb 27, 2019

Un curso maravilloso.

por Chandrasekar B

Feb 27, 2019


por Brian C G

Mar 04, 2019

Excellent course! Great exercises and a solid background on how to build resilient streaming systems with GCP

por Julian K

Mar 06, 2019

This was a pleasure to attend. Some minor frustrations when tests failed or just stopped, but support was excellent and by revisiting your site 2 stopped tests resulted in a pass! Note that some of the current web pages have changed since the course was created - so the tests are more real-world as you have to figure stuff out yourself - not such a bad thing!

por Vicente G d S

Mar 19, 2019

Excelent way of learning Pub Sub.

por Mohammed A M F S

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 G

Mar 24, 2019

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

por Sudeshna D

Dec 20, 2018


por Peter S

Dec 20, 2018

Very interesting!!

por Agha A A

Mar 31, 2019

Thorough and challenging.

por Jumpod P

Apr 01, 2019

Very goods course

por Peeya I

Apr 06, 2019

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

por Adam E

Feb 06, 2019


por Amit K

Dec 28, 2018


por Michael F

Jul 14, 2017

loved it

por Manuel P Z

May 21, 2018

Good introduction to gcp workflow (pub/sub, dataflow, bigquery, bigtabale and data studio). This course gives you the tool to start the long journey in the data engineer path.

por Roque R

Jan 08, 2018


por Sterlaydy

May 06, 2018

Very good way to explain about streaming, made it simple.

por Moses O M

Nov 10, 2017

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!