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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.


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.


Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform: 51 - 75 / 484 レビュー

by Kalyan K

Sep 12, 2017

This course is very useful and got good understanding on Dataproc and ML API's like Translate API,Speech API,Vision API and NLP API.

by 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

by Alvin M

Dec 08, 2019

Nice. Gives good examples of how to use Google Dataproc with other GCP services for big data analysis and machine learning.

by Keshav K

Jul 29, 2019

The course is very well structured, giving you step by step instructions and one level deeper understanding at every step.

by Yevgen B

Nov 02, 2019

Labs were too simple and pre-written. More challenging labs would make it more interesting and grade wont be 100%.

by Peter D

Apr 02, 2019

Incredibly strong course, covering both basic and intermediary ML and big data concepts. I found it enlightening.

by Gregory D

Mar 15, 2019

Well designed course. Personally, I need(ed) some outside resources to reach a comfort level with this material

by David H

Feb 09, 2019

This is thoroughly practical course and enables you to run big data jobs using GCP on the actual data you have..

by Manuja P

Aug 24, 2019

A great course get the basic understanding and practical knowledge about Cloud Dataproc,Cloud Storage,Spark etc

by Rao M

Feb 13, 2019

Good learning of ML, dataproc and running jobs from dataproc. Separation of Compute and Storage is interesting.

by Mangesh K S

Mar 16, 2019

I am grateful for Coursera for make such a syllabus and an environment where one can do hands-on the problem.

by Cesar M

Jul 06, 2018

Very good, a little basic but enough for the time needed. The labs are excellents, with test google accounts.

by Chandresh C

Jul 26, 2019

Well Guided and well taught course. I feel confident doing labs without running reference quicklab tutorials

by Qazi A A

Dec 07, 2017

Utilizing Machine Learning APIs, and BigQuery and how it all works together to build your own application.

by Joachim H

Oct 30, 2018

Quite good, gives a good understanding of what is Cloud Dataproc and different ways to interact with it.

by Sabu J

Dec 12, 2017

This course helps a lot to migrate legacy Hadoop based system to GCP and to leverage its advantages

by Willem W

Nov 20, 2019

Great overview of all the different tools and methods available on better utilizing unstructured data.

by Ken I

Jul 22, 2018

Very easy to understand and follow along. Real hands-on experience manipulating the GCP products.

by godkad

Nov 22, 2017

Useful for learn GCS but it is needed to use tools are composing base on it like Spark and pandas.

by Simon

Aug 12, 2019

Introduces the high-level architecture of GC as applies to processing/analyzing unstructured data

by Vijaykumar M

Nov 13, 2019

Very useful Information and labs. Shows how easy to use GCP for Big Data and ML task Processing

by Fábio A R

Oct 14, 2019

Excellent course, all material is pretty handy, it focuses only on the most important aspects.

by Gopinath K

Jun 26, 2019

Good material, could be more technical about the cases rather than just promoting the product

by Woiyl H

Sep 12, 2017

Thanks a lot for this excellent course, everything was prepared perfectly. No doubt 5 stars !

by Neide O

Jun 30, 2019

The course is very interesting.

Thanks to everyone who worked to make this course available.