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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
stars
3,232 个评分
318 条评论

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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201 - Serverless Data Analysis with Google BigQuery and Cloud Dataflow 的 225 个评论(共 316 个)

创建者 Ivan S

Sep 23, 2017

Good course, although it would be great to have more materials on Apache Beam programming model and Dataflow pipelines monitoring.

创建者 Rennan G S C

Jul 07, 2019

Ótimo curso! Achei o tópico sobre Dataflow um pouco confuso, mas consegui compreender realizando os laboratórios do curso.

创建者 Maciek S

Jun 06, 2019

Generally OK, but I'd say it'd be better if Java and Python "tracks" would be separate courses for consistency sake.

创建者 nidhin p

Jul 24, 2017

Good Intro to google's big query and dataflow.

Assignments were codelabs that can be found in Google's codelabs site

创建者 Edward C

Apr 28, 2018

This course gave good examples of how to tie together several cloud services to produce a real time data pipeline.

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 jefferson f n

Jun 23, 2019

This course prepared me to lead with real pipelines. Now I'm confident to create my own pipelines with python.

创建者 Cameron W

Aug 21, 2018

Some elements did not work correctly. Answers to the questions asked were not provided clearly for the labs

创建者 Joe S

Sep 07, 2017

Overall this is a very good course, only issue experienced is 1 lab is running so long and failed at

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 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 Sandeep K

Aug 05, 2017

Good intro to Big Query, would have loved to see an example case study on a capstone project

创建者 Oleg M

Nov 28, 2019

Some labs are quite buggy. Otherwise a good introduction, however may lack depth at times.

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 Yves W O E

Nov 23, 2019

good overview of the possibilities and inners of dataflow. Bugs in the last lab

创建者 Minhazur R

Aug 31, 2019

A few of the tasks in Qwiklabs were not clear and won't let me finish the task.

创建者 Gopi R

Oct 02, 2019

The Python code used in the dataflow could have been explained in the session.

创建者 Tom M

Feb 16, 2018

Good Material but the environment and examples are a little buggy in the 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 Azharali V

May 02, 2019

Its good content to explore on Data Analysis on BigQuery and Cloud DatFlow.

创建者 Aki A

Dec 28, 2017

Video needs a bit more editing, there restarts or calendar popping up etc.

创建者 Prabhu c

Jul 06, 2017

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

创建者 Simon

Aug 24, 2019

Overall, it is well taught. A few improvements here and there needed

创建者 Venkatesh K

Oct 15, 2019

1star less for excluding complex scenarios in parallel processing.

创建者 Jasper K

Oct 22, 2018

Very nice course. Good to have both Java and Python implementations