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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

4.5
2,834 个评分
278 个审阅

课程概述

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....

热门审阅

EL

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.

MB

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 - Serverless Data Analysis with Google BigQuery and Cloud Dataflow 的 175 个评论(共 277 个)

创建者 sundaresan p

Sep 22, 2019

Given examples are good.

创建者 Miguel A C N

Nov 25, 2018

All lab explanations are for java labs, maybe will be better to add the python lab explanations

创建者 Bhavin M A

Jan 10, 2019

Some issues faced during course and that issues eaten up my time. I have raised it to support to take care. But overall it is a good course and enjoyed learning.

创建者 Mananai S

Dec 31, 2018

Very good course for BigQuery and Dataflow. There are enough material for me to get started with the products. Since Dataflow is a central in data analytics, I wish they cover more topics like advanced data pipelines, more coding examples and how to read metrics in Dataflow pipeline graphs.

创建者 Ken I

Dec 31, 2018

Will need to intensely dive into the documentation to understand the gcloud CLI. Wish we could've spent more time on that. The real world examples were very instructive, though.

创建者 oscar z

Feb 19, 2019

It is required go deeper in Python and/or Java to understand better the code used in Dataflow

创建者 V B

Feb 23, 2019

This course provides an overview of BigQuery, DataFlow and DataPrep. It has give me an opportunity to do hands on each topic and learn quickly.

创建者 Norma N

Feb 07, 2019

Falta mas practica porque el tema es extenso y muy interesante para tan poca practica

创建者 Peter B

Feb 12, 2019

Great course with lots of examples via hands-on Labs. Some of the public data sets are no longer available and some of the data pipelines take a quite a while to run so some maintenance of the material is needed.

创建者 Paripol T

Apr 08, 2019

Nice course

创建者 Bhushan B

Feb 04, 2019

Good hands on labs

创建者 David R

Feb 08, 2018

Nice. A bit more serious than the last two. Looking forward to the next one.

创建者 Sanjeev B

May 27, 2018

Enjoyed

创建者 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.

创建者 BN1974SF

Feb 08, 2018

Some of the labs did not work seamlessly.

创建者 Colin A

Oct 09, 2017

some wonkiness with the python labs in module 2

创建者 Andrea T

Feb 25, 2018

Maybe a bit more explanation of apache beam syntax would help... it's a bit hard to understand for novice users

创建者 Serhii Y

Jun 02, 2018

Last 3 labs missing Python version.

创建者 Andrey S

Jul 17, 2017

Thank you for the course. I wish the last 3 labs about dataflow were using python code and not java. In general all the material about dataflow is the hardest so far in this specialisation. Not easy to grasp for a person with limited coding skills.

创建者 Marc C

Dec 17, 2017

Very good, would have given 5 stars, but missed Python demos for the last 2 labs (side-inputs and streaming). Keen to revisit when Python demos are included, as the API for side-inputs is different between Python and Java, pvalue and whatnot...

创建者 David J

Aug 14, 2017

It is very useful

创建者 Prabhu c

Jul 06, 2017

Couple of labs does not have python code for practice. Very Good Content

创建者 Narasimharao K

Jul 05, 2017

Although the course content is good. Some of the videos on the course needs editing as they are duplicate and also for some videos continuity feels missing as they tend to stop abruptly

创建者 Timothy W

Dec 06, 2017

In depth look at Cloud Dataflow and how it can handle streaming and batch data. The lab examples require strong understanding of Java and Python is understand the code being executed.

创建者 EX2 S

Sep 03, 2017

very nice explanation