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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

4.7
1,936 个评分
152 个审阅

课程概述

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...

热门审阅

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.

筛选依据:

76 - Building Resilient Streaming Systems on Google Cloud Platform 的 100 个评论(共 150 个)

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

Great

创建者 Mamta D

Nov 04, 2019

Very well explained with different scenario's

创建者 SATEESH K C

Jun 04, 2019

Very simple way of presenting the problem and solving through GCP Streaming and Bigtable

创建者 William M

Jan 31, 2019

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

创建者 Soumyadeep D

May 07, 2019

Very nice course

创建者 david m

Oct 19, 2017

Great course, and an excellent topic in the Big Data Engineering on GCP. Would recommend this to anyone interested in this area.

创建者 Sudeshna D

Dec 20, 2018

good

创建者 Sandip K

Aug 05, 2019

Great Course

创建者 Chockalingam K C

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.

创建者 Keith A

Apr 30, 2019

Excellent course.

创建者 Sanjeev B

Jun 03, 2018

Very interesting and knowledgeable

创建者 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.

创建者 Shubhachandra

Apr 05, 2018

I have learnt good , I look forward to learning more. Thank you for being a remarkable Instructor Lak and I am very grateful for this course.

创建者 DOLA K S

May 19, 2019

Ce cours est très bien fait, et conduit l’étudiant à atteindre peu a peu la maîtrise du contenu a travers des exemples concrets et pratique

创建者 Gopinath K

Jul 03, 2019

Good.

创建者 Christian B

Aug 13, 2017

Some of the videos were too short, this interrupted the continuity of the course. Other than that very enjoyable thank you for putting this together.

创建者 RONAK J

Nov 13, 2019

GREAT COURSE

创建者 David N

Jun 09, 2018

Thank you google! :) I have enjoyed my journey in this track for data engineer

创建者 Steeve D

Oct 05, 2018

This course is amazing. I learned so much that i cannot thank you enough for putting together all these great materials

创建者 Simon H

Jul 22, 2019

I learnt a lot! thanks

创建者 Mikhail M

Nov 21, 2018

Very Nice!

创建者 Michael S P P

Aug 08, 2018

Estos cursos permiten incursionar en la plataforma Google Cloud, es básico y hace falta pasar más tiempo con la plataforma y crear un proyecto grande, pero para empezar está bastante bien.