Chevron Left
Вернуться к Building Resilient Streaming Systems on Google Cloud Platform

Building Resilient Streaming Systems on Google Cloud Platform, Google Cloud

Оценки: 823
Рецензии: 65

Об этом курсе

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...

Лучшие рецензии

автор: 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.

автор: 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.

Фильтр по:

Рецензии: 62

автор: Anjan Singha

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.

автор: Onur ULUAĞ

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.

автор: Mikhail Masailo

Nov 21, 2018

Very Nice!

автор: Flavio de Rezende

Nov 20, 2018

Good overview of streaming architecture, coupled with realistic use cases in the labs.

автор: Kushal Joshi

Nov 11, 2018

Qwiklabs lack of clarity in lab instructions spoiled the experience.

автор: Alberto Carlos Vicente

Oct 26, 2018


автор: Zoran Budzakoski

Oct 24, 2018

Lak is awesome!

автор: Girish Ogirala

Oct 19, 2018

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

автор: Sirisha Pasumarthy

Oct 18, 2018

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

автор: Jaskarandeep Punia

Oct 16, 2018

great Learning Experience