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Вернуться к Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Отзывы учащихся о курсе Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform от партнера Google Cloud

4.5
Оценки: 2,977
Рецензии: 360

О курсе

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...

Лучшие рецензии

RW

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.

CP

Dec 29, 2017

Really enjoyed it, woudl have liked to spend more time with the APIs and integrate with real time web downloads. There are a few bugs and misprints, but wasn't too hard to find them.

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1–25 из 369 отзывов о курсе Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

автор: Joe S

May 12, 2019

I think the quizzes should have had more questions, there were many more cool things you could have asked.

автор: Justin E

Jun 04, 2019

This course is far longer than any of the other courses in the Data Engineering specialisation. I felt that it rehashed a lot of the first course as well.

автор: Divyangana P

Jun 20, 2019

Exceptionally well designed course for beginners.

автор: Anand S

Jun 18, 2019

It was a good course providing synthesized learning in an easy manner

автор: Akash A

Jun 16, 2019

Great Course to learn fundamentals of Dataproc and PySpark for ML

автор: Gustavo N R

Jun 14, 2019

ggod

автор: tinku

Jun 13, 2019

Great!

автор: Shail S

Jun 10, 2019

Would be nice if there were more examples of applications

автор: Satoru I

Jun 09, 2019

Take time.

автор: Felipe O C A

Jun 06, 2019

es aun mas genial

автор: Harry C

Jun 06, 2019

very good course

автор: Hiran W

Jun 06, 2019

grate

автор: Maud B

Jun 06, 2019

Overall great! The lessons were easy to understand and had all the information I wanted.

The labs were easy to follow with pretty clear instructions.

But it was anoying to not know if and why I was missing points, since the grade is only updated after a long time, plus I lost the connection to the qwicklab tab at some point which stop the grading.

автор: Widiarto A

May 30, 2019

Awesome course! It really helps, especially the procedure on how to initiate a Dataproc cluster and submit a job to that cluster

автор: Deep C

May 30, 2019

It is a very informative course. I learned how to use DataProc, create and run custom clusters to run Hadoop jobs.Thanks to Google for providing such a easy to follow course.

автор: Simon H

May 28, 2019

I feel confident I could spin up custom clusters and perform ML workloads

автор: Ashwin S

May 28, 2019

good

автор: Leonardo L G

May 27, 2019

More labs and you should create challenges!

автор: RAJASHEKHAR G

May 24, 2019

Very Informative

автор: Dhiraj P

May 23, 2019

Great way to start with Big data.

автор: Monish K

May 21, 2019

The overall learning experience was good

автор: Nithin K

May 21, 2019

Nice

автор: SATEESH K C

May 19, 2019

I am confident that I can build a ML model and customize DataProc

автор: Eugenio E C S

May 19, 2019

This course is really good if you want to have a brief understood about what's possible to do with Dataproc, how to submit jobs using hive, pig and spark.

автор: Shalini P

May 19, 2019

It was a very informative course.