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Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Vue d'ensemblePrévisualiserFAQCréateursTarificationNotation et examens

Page d'accueilScience des donnéesAnalyse des données

Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Google Cloud

À propos de ce cours : 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

Les destinataires de ce cours : This class is intended for data analysts, data scientists and programmers who want to migrate Hadoop and Spark workloads onto Google Cloud Platform and also learn how leverage Google’s infrastructure and machine learning API’s to enhance the power of big data processing applications.


Créé par :  Google Cloud
Google Cloud
Informations de base
Cours 2 de 5 dans Data Engineering on Google Cloud Platform Specialization
NiveauIntermediate
Engagement1 week of study, 5-7 hours/week
Langue
English
Matériel requisYou'll need a Google Cloud Platform Free Trial account. Sign up at: https://cloud.google.com/free/
Comment réussirRéussissez tous les devoirs notés pour terminer le cours.
Notes des utilisateurs
4.4 étoiles
Note moyenne des utilisateurs 4.4Voir ce que disent les étudiants
Prévisualiser
Programme de cours
SEMAINE 1
Module 1: Introduction to Cloud Dataproc
15 vidéos, 1 lecture
  1. Vidéo: Why Unstructured Data?
  2. Vidéo: What Data Do Enterprises Analyze?
  3. Vidéo: Even Google Skipped Unstructured Data
  4. Vidéo: Considering Counting Problems
  5. Vidéo: Why Cloud Dataproc?
  6. Vidéo: Cluster Provisioning Considerations
  7. Vidéo: Imagine Your Cluster Provisioning
  8. Vidéo: Dataproc Eases Hadoop Management
  9. Vidéo: Create a Cluster from the Web
  10. Vidéo: Cluster Configurations and Preemptible Workers
  11. Vidéo: Customizing a Dataproc Cluster
  12. Vidéo: Lab Overview for creating a Dataproc Cluster
  13. Vidéo: Lab Objectives for creating a Dataproc Cluster
  14. Leitura: Codelab – Leveraging Unstructured Data, Part 1
  15. Vidéo: Lab "Creating a Dataproc Cluster " Review
  16. Vidéo: Creating Custom Machine Types
Noté: Module 1 Quiz
Module 2: Running Dataproc jobs
13 vidéos, 2 lectures
  1. Vidéo: Overview of Running Dataproc Jobs
  2. Vidéo: Why SSH into a Cluster?
  3. Vidéo: Lab Overview
  4. Vidéo: Lab Objectives
  5. Leitura: Codelab – Leveraging Unstructured Data, Part 2
  6. Vidéo: Lab Review
  7. Vidéo: Separation of Storage and Compute
  8. Vidéo: Problem of Compute and Storage Rigidity: Scenario 1
  9. Vidéo: Problem of Compute and Storage Rigidity - Scenario 2
  10. Vidéo: Moving to a Serverless World
  11. Vidéo: Submitting Jobs with Dataproc and Cloud Shell
  12. Vidéo: Lab Overview
  13. Vidéo: Lab Objectives
  14. Leitura: Codelab – Leveraging Unstructured Data, Part 3
  15. Vidéo: Lab Review
Noté: Module 2 Quiz
Module 3: Leveraging GCP
10 vidéos, 1 lecture
  1. Vidéo: Introduction to Leveraging GCP
  2. Vidéo: Leveraging Google Cloud Platform Pt. 1
  3. Vidéo: Leveraging Google Cloud Platform Pt. 2
  4. Vidéo: Dataproc vs. Metadata Server
  5. Vidéo: Lab Intro
  6. Vidéo: Lab Objectives
  7. Leitura: Codelab – Leveraging Unstructured Data, Part 4
  8. Vidéo: Lab Review
  9. Vidéo: Why Process BigQuery Data in Spark?
  10. Vidéo: BigQuery Support
  11. Vidéo: Tips for Interacting with BigQuery
Noté: Module 3 Quiz
Module 4: Analyzing Unstructured Data
4 vidéos, 1 lecture
  1. Vidéo: Introduction to Analyzing Unstructured Data
  2. Vidéo: Infuse Your Business with Machine Learning
  3. Vidéo: Lab Objectives
  4. Leitura: Codelab – Leveraging Unstructured Data, Part 5
  5. Vidéo: Lab Review
Noté: Module 4 Quiz

FAQ
Comment cela fonctionne
Trabalho
Trabalho

Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.

Ajuda dos seus colegas
Ajuda dos seus colegas

Conecte-se com milhares de outros aprendizes, debata ideias, discuta sobre os materiais do curso e obtenha ajuda para dominar conceitos.

Certificados
Certificados

Obtenha reconhecimento oficial pelo seu trabalho e compartilhe seu sucesso com amigos, colegas e empregadores.

Créateurs
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Tarification
Acheter le cours
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Notation et examens
Note moyenne 4.4 sur 5 sur 765 notes

SK

Some unnecessary repetition of content before a lab starts (objectives and whatnot).

CE

Most of the thing are good, just one thing to comment that video subtitles do not match with the audio pace.

WW

Good intro into Dataproc. Only comment is that some of the menus on the training lab didn't' reflect the same menu I had. I managed to still figure it out.

Mohit Gupta

Fantastic course!



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