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Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform に戻る

Google Cloud による Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform の受講者のレビューおよびフィードバック



This 1-week, accelerated course builds upon previous courses in the Data Engineering on Google Cloud Platform specialization. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to create and manage computing clusters to run Hadoop, Spark, Pig and/or Hive jobs on Google Cloud Platform. You will also learn how to access various cloud storage options from their compute clusters and integrate Google’s machine learning capabilities into their analytics programs. In the hands-on labs, you will create and manage Dataproc Clusters using the Web Console and the CLI, and use cluster to run Spark and Pig jobs. You will then create iPython notebooks that integrate with BigQuery and storage and utilize Spark. Finally, you integrate the machine learning APIs into your data analysis. Pre-requisites • Google Cloud Platform Big Data & Machine Learning Fundamentals (or equivalent experience) • Some knowledge of Python...



Nov 19, 2019

Oh, this was great! I didn't have much exposure to distributed processing jobs. Really great to learn about staging, automating and tuning these jobs. I hope I can apply this professionally soon.


Apr 23, 2019

The course has introduced me to hadoop tools. I have learned how easy it is to setup a hadoop cluster using Dataproc. Will sure look for cases that have implemented hadoop and replicate on GCP.


Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform: 451 - 475 / 484 レビュー

by Scott G

Mar 26, 2018

A bit redundant following course 1

by Philippe B

Apr 05, 2018

There is a delay on subtitles.

by Diego N M

Oct 04, 2019

A lot of technical issues!

by Andrea B

Dec 30, 2018

The third lab is bugged

by Dharmesh K

Aug 12, 2017

More labs would help.

by Thiago B G

Nov 28, 2019

Some labs never work

by Lukasz S

Jun 01, 2018

No Qwicklabs

by teguh i r

Jan 07, 2018

too general

by Alvaro R F

Apr 27, 2019


by Alberto R M

Aug 19, 2017

The contents are very interesting, but the main teacher is extremely boring. Seems to be reading, not really teaching. I love Lak's videos, but in this course there are only a few from Lak. Most of them are recorded by Grant Moyle, and he even include mistakes occurred while recording. Compared with the previous course, the quality of this one is much much lower.

by Mark D

Jul 28, 2017

This is part 2 of a 5 part series. A lot of same labs and videos from part 1. Several video sections were repeated more than once, one of which was 10 minutes long. It is also very annoying to have to constantly load the next video content as some sections are only a few seconds long. Why isn't this just one long video for each module.

by Richard L

Nov 01, 2018

This course presents how to use use GCP tools for Hadoop (Dataproc), but it doesn't really go in to what is used for or why you would use Hadoop. As such there is a big hole in the middle of this course. There are really no challenges in this material, and the learner is not asked to think at all.

by Michał J

Aug 28, 2018

To be honest this whole specialization is a scam. There is promise of preparing to Data Engineer Cert, but the course just skims most of the topics, missing a lot others entirely. Please, at least have decency not to advertise it like this and remove it from official google certification page.

by Georges K

Aug 24, 2017

Interesting content, but lots of video editing errors (I reported them) and often very small videos (one is LESS THAN 3 seconds!?). Quiz questions too easy - they do not test if the participant has really understood the topics covered, nor whether he has completed the labs.

by Juan A

Sep 23, 2019

Mucho parafraseo y lecturas innecesarias. Podría resumirse mucho más respecto de los actuales contenidos, y así extenderse en los laboratorios y ejercicios prácticos que lleven al alumno a interiorizar más los conocimientos técnicos. Mucha teoría, poca práctica.

by Dmitry L

Mar 05, 2019

i've been tired to get it done due to some platform issue. it was necessary to review everything several times to get green sign

by Nikita Y

Dec 07, 2017

The same data and information as well as codelabs is available in Data Engineering and Machine Learning Fundamentals course.

by Boris G

Aug 18, 2017

some of the labs don't work since there are changes in the container registry images and some startup scripts return errors.

by Michael B

Apr 25, 2018

Better than the prior course but again, very basic. Not much to learn for anyone who understands Spark + any cloud service

by Mykal A

Jul 28, 2017

While the content was extremely useful, there was far too much duplicated video. Sadly, many video lessons were repeated.

by Thelio

Apr 18, 2018

Low quality video and a lot of repetitions between Lak's videos and Grant Moyle.

by Patrick

Mar 17, 2018

The course is just tell you to copy and run without enough explanation

by Sneha M

Sep 10, 2018

It is ok... there is a little confusion in the documentation though

by Marcelo H G

Jan 14, 2019

Too superficial, google cloud has caveats, need to tell about it.

by Paul C

Dec 18, 2018

didnt feel that I learnt anything in this course