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Voltar para Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Comentários e feedback de alunos de Serverless Data Analysis with Google BigQuery and Cloud Dataflow da instituição Google Cloud

3,228 classificações
318 avaliações

Sobre o curso

This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out no-ops data warehousing, analysis and pipeline processing. Prerequisites: • Google Cloud Platform Big Data and Machine Learning Fundamentals • Experience using a SQL-like query language to analyze data • Knowledge of either Python or Java Google Account Notes: • Google services are currently unavailable in China....

Melhores avaliações


Dec 12, 2018

The combination of Java and python is sometimes a bit confusing. Maybe it would be better to split the course in a java and a python version so all the Beam concepts are taught in a single language.


Jul 21, 2019

Thanks for designing such a wonderful course outline. I learned valuabe BigQuery and Cloud Dataflow concepts. Best part was to learn how to write data pipelines and execute on cloud using Dataflow.

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151 — 175 de {totalReviews} Avaliações para o Serverless Data Analysis with Google BigQuery and Cloud Dataflow

por Juan S V

Jul 11, 2019


por Eduardo F d O

Apr 10, 2019


por Robin A

Jan 15, 2019

Great One

por Ajit K

Nov 12, 2017

Good one.

por Hovsep P

Oct 08, 2019


por Paresh R

Jan 14, 2019

Good one

por Michael F

Jul 14, 2017

loved it

por Akashdeep H

Aug 29, 2017


por Muhammad Z H

Nov 29, 2019


por Daniel S d A

Nov 05, 2017


por ved p

Dec 19, 2019


por Mihai P

Sep 04, 2019


por Hiran W

Jun 06, 2019


por Laxman B

Nov 10, 2019


por Atichat P

Sep 06, 2019


por Gokula K S

Jul 16, 2019


por Nithin K

May 24, 2019


por Chandrasekar B

Feb 11, 2019


por Even

Jan 23, 2019


por Marcelo F d S

Sep 13, 2018


por Lê X T

Sep 04, 2018


por srinivasarao p

May 30, 2018


por Chaz R

Oct 17, 2017

While the course content was very informative, there was not enough about the Google Cloud Data Engineering certification exam - specifically, what material would or would not be on it. In fact the certification was not even mentioned. Some mention would be helpful, given that's the primary reason most folks are taking this course.

I was also a bit nonplussed by the way all of the code is just handed to you, so that the labs end up being "run this," "run that," "use this script to run this other thing." While I appreciate these services are complex and teaching students to write them from scratch would be time-consuming, there really must be a better way to do this than simply handing over huge chunks of code and saying, "Run this one command to make it all magically happen." The reason this was necessary was, all the scripts had lots of hacks and gotchas and handling of things that could go wrong - that's a sign the Google Cloud Platform needs some smoothing out. What happens when "certified" data engineers who have no idea what's going on manage to pass the certification, and get into a job, and are totally lost? (Answer: It's going to greatly de-value the certification.)

This definitely felt like a no-coding-skills-required course, and from some of the discussions going on on the discussion boards, it seems like there are a sizeable number of students in that category.

por Lijun L

Jul 30, 2018

The last lab "Serverless Data Analysis with Dataflow Lab 3 : Side Inputs (Java/Python)" (, student account does not have enough privilege to run query on BigQuery. I got stuck on these queires:

SELECT content FROM [fh-bigquery:github_extracts.contents_java_2016] LIMIT 10

SELECT COUNT(*) FROM [fh-bigquery:github_extracts.contents_java_2016]

por Vitor P T

Sep 09, 2019

Found some strange things on this course:

Task within qwiklabs and some videos weren't being set as completed;

Qwiklabs - Serverless Data Analysis with BigQuery Lab 3 : Advanced SQL Queries is being a nightmare to attain 100%. Every time I go through it, different tasks are marked as completed.