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

4.7
1,936 calificaciones
152 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...

Principales revisiones

PG

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.

CC

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 150 revisiones para Building Resilient Streaming Systems on Google Cloud Platform

por Onur U

Nov 26, 2018

Streaming pull on Pub/Sub can also be added.

How to get publish time and message id those are added on Pub/Sub on Dataflow can also be mentioned.

por Peter S

Dec 20, 2018

Very interesting!!

por Preetish K D

Jan 09, 2019

All concept explained nicely.

por Raja R G

Dec 29, 2018

Very Good content...

por Amit K

Dec 28, 2018

Good

por Javier R

Jan 16, 2019

Very useful.

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 Mnason A P

Feb 16, 2019

great

por Adam E

Feb 06, 2019

Sick

por Vicente G d S

Mar 19, 2019

Excelent way of learning Pub Sub.

por Chandrasekar B

Feb 27, 2019

good

por Alejandro J A

Feb 27, 2019

Un curso maravilloso.

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 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 Agha A A

Mar 31, 2019

Thorough and challenging.

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 harada h

Sep 26, 2018

This has been a great course. All the theory and practical content I find useful to get me started in the field of machine learning

por Rambabu A

Sep 15, 2018

Wonderful and powerful features in google ... Ultimate Powerful cloud Platform

por Soumya R B

Sep 15, 2018

Awesome

por Parag G

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 Jaskarandeep P

Oct 16, 2018

great Learning Experience

por Girish O

Oct 19, 2018

Thank you Lak for a wonderful journey through GCP, ML and Big Data

por Zoran B

Oct 24, 2018

Lak is awesome!