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返回到 Serverless Data Analysis with Google BigQuery and Cloud Dataflow

学生对 Google 云端平台 提供的 Serverless Data Analysis with Google BigQuery and Cloud Dataflow 的评价和反馈

2,817 个评分
278 个审阅


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....



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.


251 - Serverless Data Analysis with Google BigQuery and Cloud Dataflow 的 275 个评论(共 276 个)

创建者 Michael W

Jul 24, 2018

Started out very solid and then it just fell a bit short on some of the key exercises. Probably should have started with the Data Prep Tool & Templates before heading into Beam pipelines and Side Inputs and those two could have been more detailed. I finished this course in 1.5 days so you had a bit of room to make it more robust with a week being the expectation.

创建者 Rushi P

Jul 29, 2018

BQ portion, very helpful.

创建者 Subhrendu B

Jul 10, 2019


创建者 Asim K

Jul 16, 2019


创建者 Martin W

Aug 05, 2019

Check progress in Quicklabs does not provide useful help. Some quicklabs are hard to complete, if you made once something slightly different and it was not recognized as a result.

创建者 Indrek V

Aug 26, 2019

Multiple technical errors on this course. One lab had to be completed multiple times because of progress check errors. Course progress updates seemed to be "rolled back" at one point. Last quiz in the course simply won't load. Maybe Coursera and Qwliklabs are just having a bad week...

创建者 Michael B

Apr 25, 2018

Similar to the others, a lot of waffle and only the very basics taught.

There's also duplication of questions across quizzes which are incredibly easy

创建者 Lucas d S R

Apr 26, 2018

For an intermediate course the demos are too simple. The concepts presented are clear but there's very little depth on what's covered. It is, at best, an introduction to Dataflow/BigQuery rather than a complete course.

创建者 Andrey B

Feb 25, 2018

I have the impression that the narrator does not prepare for the courses/recordings and chooses on the fly what to say and what facts/features to leave out. Then, the Dataflow Straming Example has only Java codes for Apache Beam, no python version. This code did not work, no help in discussion Forums.

创建者 Jim B

Mar 25, 2018

Unpolished. Little depth. Labs ran really slow. I can't believe this was $99.

Instructions for labs were the bare minimum and only after the video reviewing the lab (which seemed like padding for time to me), did you understand the lab,

Why not have java AND python videos -- switching back and forth was annoying.

创建者 Nathaniel B

Jul 06, 2018

It's good to learn about BigQuery, Dataflow, and Dataprep. The training should include more than tutorials. It should include recreation/emulation and generation on the part of the student. The reviews are infrequent and not very useful for highlighting the most important information. A couple of the labs do have good questions that ask the student to explain code or predict it's output, but it can be better organized so that the student can get immediate feedback on whether he/she is correct. Dataprep seemed like an afterthought in this course and lacked an opportunity for the student to explore it in a lab.

创建者 Jeronimo G

Jul 27, 2017

I'd expected a more deep course

创建者 Justin

Jul 27, 2018

Really verbose. Also the labs kinda sucked.

创建者 Gonzalo A M

Aug 02, 2019

a little confusing how to work with dataflow and the process is too long!

创建者 Paul C

Jan 24, 2019

this course feels more like a advert for all the services that GCP has to offer than a course you can do to get usable skills for the workplace

创建者 Sim K Y

Jan 31, 2019

Lab system is EXTREMELY slow.

创建者 Ciprian D

Feb 02, 2019

This course/specialization is seriously insufficient in order to pass the GCP certification. A lot of knowledge from the Architecture course would still be necessary. The disclaimer about work experience does not cover that.

创建者 yan c

Sep 09, 2018

Some labs are not even been tested at all. No git repo, the instruction is incorrect. Environment is not set up correctly.

创建者 Aaron C

Sep 10, 2018

passive learning = shit learning

创建者 Yoong S C

Sep 24, 2018

Really mediocre.

创建者 Alexandre V G

Sep 14, 2018

Horrible material. Too much time waisted on unrelated or irrelevant things.

Lak is horrible

创建者 Anselme B

Oct 04, 2018


创建者 Fernando Z

Sep 19, 2018

Very much disappointed. The instructor had added no value to explore Dataflow. Good try to add other to help him, but I've missed really explanations around the Apache Beam API, and it's code in more details.

I had to drill down on a lot of extra materials outside the ones describer here to get a dataflow pipeline code built.

Another thing. Dataprep was very light described. It could have more explored and with Demos.

创建者 Cavan O

Apr 25, 2019


创建者 Deleted A

Jul 25, 2019

Can't understand his English accent.