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

4.5
2,660 notes
325 avis

À propos de ce cours

***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!...

Meilleurs avis

par 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.

par 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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325 avis

par Etienne Page

Apr 18, 2019

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

par Praveen Reddy

Apr 18, 2019

Useful

par Ravindra Trivedi

Apr 11, 2019

Gives good basic understanding

par Kasper Braunius

Apr 09, 2019

Seems sometimes there are issues with the connections to the course material.. I sometimes lose connections and need to go back and start over again..

par Waqas Khalid Obeidy

Apr 09, 2019

Great course on Hadoop and Spark in GCP

par Peter Deschere

Apr 02, 2019

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

par Pablo Graterol

Mar 31, 2019

super nice

par Eduardo Fuertes de Oliveira

Mar 25, 2019

Excelente.

par VINOTHKUMAR K

Mar 24, 2019

Good for a Kick start

par Mahamat Nour Ali Mai

Mar 21, 2019

it's awesome course with practical labs.