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Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform, Google Cloud

4.5
Оценки: 2,693
Рецензии: 332

Об этом курсе

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** 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 SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Data Engineering on Google Cloud Platform’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!...

Лучшие рецензии

автор: 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.

автор: 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.

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Рецензии: 333

автор: Duraimani

Apr 25, 2019

NA

автор: Prashant Kishore Jha

Apr 25, 2019

It was a great experience of learning.

автор: Manoj Kumar Gupta

Apr 24, 2019

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

автор: Michael Ash

Apr 23, 2019

I think a capstone project would be a useful addition to this specialization.

автор: Ruth Waithera Wachira

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.

автор: Egide

Apr 22, 2019

it was really exciting for learning this course. I thank you for your support

автор: Stephen Fox

Apr 21, 2019

Good course, but had to do one of the labs twice b/c coursera didn't pick up that I had completed it

автор: BOKOVE Ezekias

Apr 19, 2019

J'ai appris beaucoup de choses sur la manipulation des données structurées, semi-structurées et non structurées avec l'outil Dataproc, GCS, BigQuery et un api ML.

автор: Etienne Page

Apr 18, 2019

Peu clair sur la raison d'être de Spark/Hadoop, etc.

автор: Praveen Reddy

Apr 18, 2019

Useful