Chevron Left
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

4.5
3,008 个评分
295 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. COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

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.

筛选依据:

176 - Serverless Data Analysis with Google BigQuery and Cloud Dataflow 的 200 个评论(共 293 个)

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 Kiran R M

Aug 14, 2017

Very good and detailed explanation with hands-on lab work.

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 Joye L

May 12, 2018

A very good introductory course for using bigquery and Dataflow

创建者 Serhii Y

Jun 02, 2018

Last 3 labs missing Python version.

创建者 BN1974SF

Feb 08, 2018

Some of the labs did not work seamlessly.

创建者 Prabhu c

Jul 06, 2017

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

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

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 Sagun D

Apr 06, 2018

Nice !

创建者 Diego G J

Oct 02, 2017

The default version of the "six"package, in the installation scripts, is not compatible with "apache_beam". I had to modify the installation scripts to run the Python labs with the version 1.10.0 of package "six".

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 Alex E

Oct 15, 2017

Great videos, but all the Python codelabs don't work, there is some error regarding metadata occurring when trying to execute python files in Cloud Shell.

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 Anselm N K

Sep 09, 2017

I wish python had equal emphasis to java.

创建者 Glauber L

May 19, 2018

Subtitles are ouf of sync and there are duplicated videos

创建者 vinsent p

Aug 08, 2017

concept of cloud function (lambda function in aws), should have be covered a bit more details.

Also some more examples in terms of scaling the application should have been covered other wise its a Five star.

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 David R

Feb 08, 2018

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

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 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 Toral S

Jun 19, 2018

The labs were much easier to do in the previous two courses.

创建者 Sergio B S

Jul 31, 2017

Bigquery has been great, but difficult to understand how to use Dataflow.

Dataflows could need a separate course, but splitting totally between python and java. Not easy the merge.