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Building Resilient Streaming Systems on Google Cloud Platform(으)로 돌아가기

Google 클라우드의 Building Resilient Streaming Systems on Google Cloud Platform 학습자 리뷰 및 피드백

4.7
1,853개의 평가
146개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

필터링 기준:

Building Resilient Streaming Systems on Google Cloud Platform의 145개 리뷰 중 76~100

교육 기관: Juan S V

Aug 24, 2019

OK...

교육 기관: Ramesh R

Aug 28, 2019

Good training and also the tutor is amazing

교육 기관: Gopinath K

Jul 03, 2019

Good.

교육 기관: 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

교육 기관: Raja S D

Jul 06, 2019

Great course to get started with GCP and Data Engineering.

교육 기관: Mohit K J

Sep 06, 2019

Good one with more competencies

교육 기관: JOSÉ R F J

Sep 12, 2019

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

교육 기관: Gipsy G

Sep 12, 2019

Gracias

교육 기관: Satyanarayan A

Sep 17, 2019

Excellent

교육 기관: Keith A

Apr 30, 2019

Excellent course.

교육 기관: Oleksandr P

Sep 18, 2019

Great course, thank you very much!

교육 기관: Gary T

Sep 21, 2019

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

교육 기관: pavan b g

Sep 21, 2019

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

교육 기관: Mihai P

Sep 25, 2019

Great

교육 기관: Meet G

Oct 02, 2019

Best course of the Specialization

교육 기관: Egide

Oct 09, 2019

Interacting with streaming systems

교육 기관: sundaresan p

Oct 30, 2019

Streaming data

교육 기관: Mamta D

Nov 04, 2019

Very well explained with different scenario's

교육 기관: Hovsep P

Oct 15, 2019

Great

교육 기관: Godefroy C

Nov 11, 2019

Very interesting course to start understanding streaming in general and on GCP. It's just an intro but it's a good one!

교육 기관: Richard B

Nov 12, 2019

good.

교육 기관: RONAK J

Nov 13, 2019

GREAT COURSE

교육 기관: Rasmus B

Dec 18, 2018

Very helpful overall

교육 기관: 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.

교육 기관: Kishore K P

Mar 22, 2019

exposure on bigtable and streaming process