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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

4.6
3,990件の評価
471件のレビュー

コースについて

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...

人気のレビュー

RC

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.

LY

Mar 01, 2019

This is very handy course compared with other cloud platform where a customized environment was provided without concerning setup it on my own. This is very thoughtful and I'm very appreciated.

フィルター:

Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform: 451 - 468 / 468 レビュー

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 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 Thelio

Apr 18, 2018

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

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 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 Ho W W

Feb 17, 2018

not much content, too easy to get passed

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 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 Patrick

Mar 17, 2018

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

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 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.

by Anselme B

Oct 04, 2018

I DON'T HAVE ACCESS TO ALL THE FUCKING VIDEOS DO SOMETHING PLS

by Andrei P

Nov 12, 2017

Datalab initialization on Dataproc cluster DOESN'T WORK (4:55 PM Sunday, November 12, 2017 Coordinated Universal Time (UTC)

by Jose J P T

Nov 30, 2017

Unlike other courses, the labs don't allow to get account/password to follow up

by ricardo s

Aug 07, 2019

the lab does not work

by Mariano r

Aug 27, 2019

I don't like it, the course it's only focused on the tools that exist on GCP and for me, it's not a good option. Because the market requires to use more than one technology and generally technologies that are more general and not married with a specific cloud provider

by Paul K

Sep 04, 2019

Cannot be completed because of technical errors. Do not take.