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Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Google Cloud and Google via Coursera

1 Review 52 students interested
  • Provider Coursera
  • Subject Big Data
  • Cost $50
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 5-7 hours a week
  • Start Date
  • Duration 1 weeks long
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Overview

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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

Syllabus

Module 1: Introduction to Cloud Dataproc


Module 2: Running Dataproc jobs


Module 3: Leveraging GCP


Module 4: Analyzing Unstructured Data


Taught by

Google Cloud Training

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Review for Coursera's Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
4.0 Based on 1 reviews

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Steven B
4.0 a year ago
by Steven completed this course, spending 3 hours a week on it and found the course difficulty to be easy.
Really cool course with fun little demos. For the demos you don't need to be taking the course and the assessments are just quizzes so you can squeeze by without doing anything. Overall it makes me really jealous of the Google Cloud.
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