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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
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4,146件の評価
488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: 101 - 125 / 484 レビュー

by Anjan S

Nov 23, 2018

awesome experience. thanks google for such a wonderful training material.

by Alberto O

May 19, 2019

Nice introduction to cluster usage and all the power that comes with it.

by Manoj K G

Apr 24, 2019

A good program to enhance our skill. Every thing is simple and definite.

by Chris R

Oct 30, 2018

Excellent course with a number of great real-world examples in the labs.

by Hanmath K S T

Nov 21, 2019

Its great learning opportunity of Data Processing of unstructured data.

by Vasilis V

Aug 24, 2017

Excellent course for leveraging GCP for Big Data and Machine Learning!!

by Frank T

Jan 03, 2020

Good information on the lower level provisioning to do actual ML work.

by Nagendhran R

Jan 24, 2019

Excellent course to understand processing and analyzing data using GCP

by Muhammad U S

Dec 27, 2018

Motivating and clear instructions! Dataproc usage very well explained.

by Douglas A

Dec 03, 2018

The labs are extremely well put together. A good pace for an overview.

by Carlos G H

Aug 13, 2019

A good course in general. Could extend a little bit more in the labs.

by Eric B C C

Mar 12, 2018

Excellent topical overview of Unstructured Data processing in GCP.

by Akash A

Jun 16, 2019

Great Course to learn fundamentals of Dataproc and PySpark for ML

by SATEESH K C

May 19, 2019

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

by Roderick P

Jan 28, 2018

I have a better understanding of how to leverage cloud Dataproc.

by Cheuk M L

Nov 07, 2018

Amazing hand-on labs to experience the power of GCP ML toolings

by Charudatta D

Jul 08, 2018

Very helpful in understanding Big Data Cloud technology overall

by Aparna M

Nov 18, 2019

in detail view as been provided for handling unstructured data

by Paresh R

Jan 08, 2019

Very well designed and neatly explained content at high level.

by Jae H C

Dec 05, 2019

Good hands-on experience with Dataproc Cloud Storage services

by Preetish K D

Dec 21, 2018

Complex concepts explained nicely and in a simplified manner.

by Linh H

Mar 08, 2018

Very throughly covered Dataproc and little bit of Big Query

by Rupa

Feb 04, 2019

Very good course for a beginner new to GCP Dataproc and ML

by Justas M

Jun 26, 2018

Very thorough overview of data proc and its practical uses

by Walter S

Apr 23, 2018

Great course. Very well organised and very well explained.