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

Оценки: 2,326
Рецензии: 295

Об этом 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

автор: 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.

автор: PG

Aug 08, 2018

The course was really helpful to understand how to use google bigdata offering - dataproc for creating and managing Hadoop/hive/spark/pig and many more opensource bigdata products.

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Рецензии: 295

автор: James Okudo

Feb 20, 2019

had a few hicops

автор: parkchangwon

Feb 19, 2019

too week on ML course

автор: Venkatesh Buma

Feb 18, 2019

Best course to learn the basics of Cloud Dataproc, Bigquery, Machine Learning and get hands-on how to install a software on cluster using CLI and how to execute the ML jobs.

автор: Maria Garcia Garcia

Feb 18, 2019

The labs are buggy but the course is really good

автор: Rafael Ubertini

Feb 18, 2019

Extremamento repetitivo e comercial, porém gratuito, então é compreensivel.

автор: Leandro de Souza

Feb 15, 2019

easy to understand and simple to do the labs

автор: David Fachini

Feb 14, 2019

Spark, python and JSON is hard to understand. But the course is very interisting. Teacher is very good.

автор: Omair Karim

Feb 13, 2019

There should be more exercises for machine learning api

автор: Rao Madduri

Feb 13, 2019

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

автор: Sidharth Bolar

Feb 13, 2019

Although the course is exhaustive in terms of theory and hands on exercise

The exercises itself are not challenging enough and is a breeze to complete

The above is a major let down