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返回到 Building Resilient Streaming Systems on Google Cloud Platform

学生对 Google 云端平台 提供的 Building Resilient Streaming Systems on Google Cloud Platform 的评价和反馈

1,790 个评分
137 个审阅


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...



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.


76 - Building Resilient Streaming Systems on Google Cloud Platform 的 100 个评论(共 137 个)

创建者 Juan S V

Aug 24, 2019


创建者 Ramesh R

Aug 28, 2019

Good training and also the tutor is amazing

创建者 Gopinath K

Jul 03, 2019


创建者 Jafed E

Jul 06, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

创建者 Raja S D

Jul 06, 2019

Great course to get started with GCP and Data Engineering.

创建者 Mohit K J

Sep 06, 2019

Good one with more competencies

创建者 JOSÉ R F J

Sep 12, 2019

cd ~/training-data-analyst/courses/streaming/process/sandiego ./ $DEVSHELL_PROJECT_ID $BUCKET CurrentConditions --bigtable

创建者 Gipsy G

Sep 12, 2019


创建者 Satyanarayan A

Sep 17, 2019


创建者 Keith A

Apr 30, 2019

Excellent course.

创建者 Oleksandr P

Sep 18, 2019

Great course, thank you very much!

创建者 Gary T

Sep 21, 2019

Google, this class is incredible. I will keep learning until i am certified

创建者 pavan b g

Sep 21, 2019

wowww, what a great learning, it took 45 days to complete the training but its worth

创建者 Mihai P

Sep 25, 2019


创建者 Meet G

Oct 02, 2019

Best course of the Specialization

创建者 Egide

Oct 09, 2019

Interacting with streaming systems

创建者 Hovsep P

Oct 15, 2019


创建者 Rasmus B

Dec 18, 2018

Very helpful overall

创建者 Mananai S

Dec 31, 2018

Excellent course. Cover products in streaming systems. The material in this course is enough to get started a real project. I liked the Dataflow in streaming application part. The labs are very useful and practical. I hope they cover a bit more coding in Bigtable part.

创建者 Kishore K P

Mar 22, 2019

exposure on bigtable and streaming process

创建者 Nguyen V T H

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.

创建者 Anjan S

Dec 06, 2018

fantastic course material. Thank Lak and team.

after going through course I am now excited to work on real time issues. But yes this much is not enough, I have to learn a lot.

创建者 Harold L M M

Sep 09, 2018

Good intro course on designing streaming systems with GCP technology such as PubSub + Dataflow + BigQuery or BigTable (storage).

Thank you!

创建者 Sirisha P

Oct 18, 2018

Interesting when doing with live examples,how it connects to streaming data quickly and give results. A more way to learn

创建者 Alberto C V

Oct 26, 2018