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Avis et commentaires pour l'étudiant pour Building Resilient Streaming Systems on Google Cloud Platform par Google Cloud

4.7
1,843 notes
144 avis

À propos du cours

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....

Meilleurs avis

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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51 - 75 sur 142 Examens pour Building Resilient Streaming Systems on Google Cloud Platform

par Narasimharao K

Jul 10, 2017

Great content. Totally worth it

par Serhii Y

Jun 14, 2018

Very useful and interesting. Promising from tech standpoint. Lack of Python code version in some labs.

par David N

Jun 09, 2018

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

par 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.

par Sanjeev B

Jun 03, 2018

Very interesting and knowledgeable

par Gonzalo

Feb 04, 2018

Useful exercises and a the instructor delivered very clear and useful lessons

par Gianluca B

Jan 28, 2018

Clear, well organized

par Daniel M

Jan 14, 2018

Very interesting.

par Cổ N T

Jul 07, 2018

very great

par Victor C

Apr 18, 2019

muy bueno

par Soumyadeep D

May 07, 2019

Very nice course

par chander b s

May 10, 2019

Excellent.

par Oscar L

Apr 27, 2019

Great course, it would be great if the volume of the videos are slighty higher, thanks

par Widiarto A

Jun 16, 2019

Awesome course! Very inspiring for new users of GCP to make their own streaming data pipeline!

par Gokula K S

Jul 17, 2019

Nice

par Simon H

Jul 22, 2019

I learnt a lot! thanks

par Sandip K

Aug 05, 2019

Great Course

par Paripol T

Aug 06, 2019

Thank you

par Dylan H

May 17, 2019

This course did a great job in pulling it all together. It had more interesting labs for that reason as well. It would be great to get a code summary of the pieces that are really helpful when setting up a pipeline... sort of like a cheatsheet

par Jose L C V

Jun 02, 2019

Good Module, I learn a lot from it

par Shrikant L K

Jun 03, 2019

Excellent GCP platform and superb training course, Lak conducted it with lots of interest. Lab sessions are really good. Looking forward to takeup the certification soon

par Monish K

Jun 02, 2019

Good learning experience

par 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

par SATEESH K C

Jun 04, 2019

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

par Nitesh J S

Jun 06, 2019

I am very happy and highly impressed with the content of the GCP.